%%% -*-BibTeX-*- %%% ==================================================================== %%% BibTeX-file{ %%% author = "Nelson H. F. Beebe", %%% version = "1.07", %%% date = "30 April 2024", %%% time = "10:58:11 MST", %%% filename = "tsc.bib", %%% address = "University of Utah %%% Department of Mathematics, 110 LCB %%% 155 S 1400 E RM 233 %%% Salt Lake City, UT 84112-0090 %%% USA", %%% telephone = "+1 801 581 5254", %%% FAX = "+1 801 581 4148", %%% URL = "https://www.math.utah.edu/~beebe", %%% checksum = "52357 2989 15444 145967", %%% email = "beebe at math.utah.edu, beebe at acm.org, %%% beebe at computer.org (Internet)", %%% codetable = "ISO/ASCII", %%% keywords = "ACM Transactions on Social Computing (TSC); %%% bibliography; BibTeX", %%% license = "public domain", %%% supported = "yes", %%% docstring = "This is a COMPLETE BibTeX bibliography for %%% ACM Transactions on Social Computing (TSC) %%% (CODEN ????, ISSN 2469-7818 (print), %%% 2469-7826 (electronic)). The journal appears %%% quarterly, and publication began with volume %%% 1, number 1, in February 2018. %%% %%% At version 1.07, the COMPLETE journal %%% coverage looked like this: %%% %%% 2018 ( 19) 2020 ( 24) 2022 ( 4) %%% 2019 ( 12) 2021 ( 12) 2023 ( 8) %%% %%% Article: 79 %%% %%% Total entries: 79 %%% %%% The journal Web page can be found at: %%% %%% http://tsc.acm.org/ %%% %%% The journal table of contents page is at: %%% %%% http://dl.acm.org/pub.cfm?id=J1546 %%% http://dl.acm.org/citation.cfm?id=2632163 %%% %%% Qualified subscribers can retrieve the full %%% text of recent articles in PDF form. %%% %%% The initial draft was extracted from the ACM %%% Web pages. %%% %%% ACM copyrights explicitly permit abstracting %%% with credit, so article abstracts, keywords, %%% and subject classifications have been %%% included in this bibliography wherever %%% available. Article reviews have been %%% omitted, until their copyright status has %%% been clarified. %%% %%% URL keys in the bibliography point to %%% World Wide Web locations of additional %%% information about the entry. %%% %%% BibTeX citation tags are uniformly chosen %%% as name:year:abbrev, where name is the %%% family name of the first author or editor, %%% year is a 4-digit number, and abbrev is a %%% 3-letter condensation of important title %%% words. Citation tags were automatically %%% generated by software developed for the %%% BibNet Project. %%% %%% In this bibliography, entries are sorted in %%% publication order, using ``bibsort -byvolume.'' %%% %%% The checksum field above contains a CRC-16 %%% checksum as the first value, followed by the %%% equivalent of the standard UNIX wc (word %%% count) utility output of lines, words, and %%% characters. This is produced by Robert %%% Solovay's checksum utility.", %%% } %%% ==================================================================== @Preamble{"\input bibnames.sty" # "\ifx \undefined \booktitle \def \booktitle #1{{{\em #1}}} \fi" # "\ifx \undefined \TM \def \TM {${}^{\sc TM}$} \fi" } %%% ==================================================================== %%% Acknowledgement abbreviations: @String{ack-nhfb = "Nelson H. F. Beebe, University of Utah, Department of Mathematics, 110 LCB, 155 S 1400 E RM 233, Salt Lake City, UT 84112-0090, USA, Tel: +1 801 581 5254, FAX: +1 801 581 4148, e-mail: \path|beebe@math.utah.edu|, \path|beebe@acm.org|, \path|beebe@computer.org| (Internet), URL: \path|https://www.math.utah.edu/~beebe/|"} %%% ==================================================================== %%% Journal abbreviations: @String{j-TSC = "ACM Transactions on Social Computing (TSC)"} %%% ==================================================================== %%% Bibliography entries: @Article{Crowston:2018:IAT, author = "Kevin Crowston", title = "Introduction to {{\booktitle{ACM Transactions on Social Computing}}}", journal = j-TSC, volume = "1", number = "1", pages = "1:1--1:??", month = feb, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3181713", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:50 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3181713", acknowledgement = ack-nhfb, articleno = "1e", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Schmitz:2018:OSN, author = "Heinz Schmitz and Ioanna Lykourentzou", title = "Online Sequencing of Non-Decomposable Macrotasks in Expert Crowdsourcing", journal = j-TSC, volume = "1", number = "1", pages = "1:1--1:??", month = feb, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3140459", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:50 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3140459", abstract = "We introduce the problem of Task Assignment and Sequencing, which models online optimization in expert crowdsourcing settings that involve non-decomposable macrotasks. Non-decomposition is a property of certain types of complex problems, like the formulation of an R\\&D approach or the definition of a research methodology, which cannot be handled through the ``divide-and-conquer'' approach typically used in microtask crowdsourcing. In contrast to splitting the macrotask to multiple microtasks and allocating them to several workers in parallel, our model supports the sequential improvement of the macrotask one worker at a time, across distinct time slots of a given timeline, until a sufficient quality level is achieved. Our model assumes an online environment where expert workers are available only at specific time slots and worker/task arrivals are not known a priori. With respect to this setting, we propose TAS-ONLINE, an online algorithm that aims to complete as many tasks as possible within budget, required quality, and a given timeline, without any future input information regarding job release dates or worker availabilities. Experimental results comparing TAS-ONLINE to five benchmarks show that it achieves more completed jobs, lower flow times, and higher job quality. This work bears practical implications for providing performance and quality guarantees to expert crowdsourcing platforms that wish to integrate non-decomposable macrotasks into their offered services.", acknowledgement = ack-nhfb, articleno = "1", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Tolmie:2018:MAP, author = "Peter Tolmie and Rob Procter and Mark Rouncefield and Maria Liakata and Arkaitz Zubiaga", title = "Microblog Analysis as a Program of Work", journal = j-TSC, volume = "1", number = "1", pages = "2:1--2:??", month = feb, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3162956", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:50 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3162956", acknowledgement = ack-nhfb, articleno = "2", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Garimella:2018:QCS, author = "Kiran Garimella and Gianmarco {De Francisci Morales} and Aristides Gionis and Michael Mathioudakis", title = "Quantifying Controversy on Social Media", journal = j-TSC, volume = "1", number = "1", pages = "3:1--3:??", month = feb, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3140565", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:50 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3140565", abstract = "Which topics spark the most heated debates on social media? Identifying those topics is not only interesting from a societal point of view but also allows the filtering and aggregation of social media content for disseminating news stories. In this article, we perform a systematic methodological study of controversy detection by using the content and the network structure of social media. Unlike previous work, rather than studying controversy in a single hand-picked topic and using domain-specific knowledge, we take a general approach to study topics in any domain. Our approach to quantifying controversy is based on a graph-based three-stage pipeline, which involves (i) building a conversation graph about a topic, (ii) partitioning the conversation graph to identify potential sides of the controversy, and (iii) measuring the amount of controversy from characteristics of the graph. We perform an extensive comparison of controversy measures, different graph-building approaches, and data sources. We use both controversial and non-controversial topics on Twitter, as well as other external datasets. We find that our new random-walk-based measure outperforms existing ones in capturing the intuitive notion of controversy and show that content features are vastly less helpful in this task.", acknowledgement = ack-nhfb, articleno = "3", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Liu:2018:CSM, author = "Weichen Liu and Sijia Xiao and Jacob T. Browne and Ming Yang and Steven P. Dow", title = "{ConsensUs}: Supporting Multi-Criteria Group Decisions by Visualizing Points of Disagreement", journal = j-TSC, volume = "1", number = "1", pages = "4:1--4:??", month = feb, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3159649", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:50 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3159649", abstract = "Groups often face difficulty reaching consensus. For complex decisions with multiple criteria, verbal and written discourse alone may impede groups from pinpointing and moving past fundamental disagreements. To help support consensus building, we introduce ConsensUs, a novel visualization tool that highlights disagreement by asking group members to quantify their subjective opinions across multiple criteria. To evaluate this approach, we conducted a between-subjects experiment with 87 participants on a comparative hiring task. The study compared three modes of sensemaking on a group decision: written discourse only, visualization only, and written discourse plus visualization. We confirmed that the visualization helped participants identify disagreements within the group and then measured subsequent changes to their individual opinions. The results show that disagreement highlighting led participants to align their ratings more with the opinions of other group members. While disagreement highlighting led to better score alignment, participants reported a number of reasons for shifting their score, from genuine consensus to appeasement. We discuss further research angles to understand how disagreement highlighting affects social processes and whether it produces objectively better decisions.", acknowledgement = ack-nhfb, articleno = "4", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Morstatter:2018:IFB, author = "Fred Morstatter and Liang Wu and Uraz Yavanoglu and Stephen R. Corman and Huan Liu", title = "Identifying Framing Bias in Online News", journal = j-TSC, volume = "1", number = "2", pages = "5:1--5:??", month = jun, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3204948", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:51 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3204948", abstract = "It has been observed that different media outlets exert bias in the way they report the news, which seamlessly influences the way that readers' knowledge is built through filtering what we read. Therefore, understanding bias in news media is fundamental for obtaining a holistic view of a news story. Traditional work has focused on biases in terms of ``agenda setting,'' where more attention is allocated to stories that fit their biased narrative. The corresponding method is straightforward, since the bias can be detected through counting the occurrences of different stories/themes within the documents. However, these methods are not applicable to biases which are implicit in wording, namely, ``framing'' bias. According to framing theory, biased communicators will select and emphasize certain facts and interpretations over others when telling their story. By focusing on facts and interpretations that conform to their bias, they can tell the story in a way that suits their narrative. Automatic detection of framing bias is challenging since nuances in the wording can change the interpretation of the story. In this work, we aim to investigate how the subtle pattern hidden in language use of a news agency can be discovered and further leveraged to detect frames. In particular, we aim to identify the type and polarity of frame in a sentence. Extensive experiments are conducted on real-world data from different countries. A case study is further provided to reveal possible applications of the proposed method.", acknowledgement = ack-nhfb, articleno = "5", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Simperl:2018:VCS, author = "Elena Simperl and Neal Reeves and Chris Phethean and Todd Lynes and Ramine Tinati", title = "Is Virtual Citizen Science A Game?", journal = j-TSC, volume = "1", number = "2", pages = "6:1--6:??", month = jun, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3209960", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:51 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3209960", abstract = "The use of game elements within virtual citizen science is increasingly common, promising to bring increased user activity, motivation, and engagement to large-scale scientific projects. However, there is an ongoing debate about whether or not gamifying systems such as these is actually an effective means by which to increase motivation and engagement in the long term. While gamification itself is receiving a large amount of attention, there has been little beyond individual studies to assess its suitability or success for citizen science; similarly, while frameworks exist for assessing citizen science performance, they tend to lack any appreciation of the effects that game elements might have had. We therefore review the literature to determine what the trends are regarding the performance of particular game elements or characteristics in citizen science, and survey existing projects to assess how popular different game features are. Investigating this phenomenon further, we then present the results of a series of interviews carried out with the EyeWire citizen science project team to understand more about how gamification elements are introduced, monitored, and assessed in a live project. Our findings suggest that projects use a range of game elements with points and leaderboards the most popular, particularly in projects that describe themselves as ``games.'' Currently, gamification appears to be effective in citizen science for maintaining engagement with existing communities, but shows limited impact for attracting new players.", acknowledgement = ack-nhfb, articleno = "6", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Shi:2018:MPR, author = "Chuan Shi and Jian Liu and Yiding Zhang and Binbin Hu and Shenghua Liu and Philip S. Yu", title = "{MFPR}: A Personalized Ranking Recommendation with Multiple Feedback", journal = j-TSC, volume = "1", number = "2", pages = "7:1--7:??", month = jun, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3216368", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:51 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3216368", abstract = "Recently, recommender systems have played an important role in improving web user experiences and increasing profits. Recommender systems exploit users' behavioral history (i.e., feedback on items) to build models. The feedback usually includes explicit feedback (e.g., ratings) and implicit feedback (e.g., browsing history, click logs), which are both useful for improving recommendations. However, as far as we are concerned, no existing works have integrated both explicit and multiple implicit feedback simultaneously. Therefore, we propose a unified and flexible model, named Multiple Feedback-based Personalized Ranking (MFPR), to make full use of multiple feedback, which uses a personalized ranking framework. To train model MFPR, we design an algorithm to generate ordered item pairs as labeled data, with consideration of both rating scores and multiple implicit feedback. Extensive experiments on two real-world datasets validate the effectiveness of the MFPR model. With the integration of multiple feedback, MFPR significantly improves recommendation performance.", acknowledgement = ack-nhfb, articleno = "7", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Tausczik:2018:ECS, author = "Yla Tausczik and Rosta Farzan and John Levine and Robert Kraut", title = "Effects of Collective Socialization on Newcomers' Response to Feedback in Online Communities", journal = j-TSC, volume = "1", number = "2", pages = "8:1--8:??", month = jun, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3191834", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:51 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3191834", abstract = "Collective socialization involves introducing new members to an organization as a group or cohort. In traditional offline organizations, collective socialization is a standard and effective socialization strategy. This article investigates the impact of collective socialization on newcomers' motivation and learning in an online community and the effect it has on newcomers' reaction to feedback from the community. One observational field study and two random-assignment experiments involving editing Wikipedia articles show that collective socialization altered the way newcomers responded to feedback from the community. The observational study of students editing Wikipedia articles as part of a classroom assignment found that those who worked relatively independently without peer support made more edits in response to critical, negative feedback, presumably to fix errors, whereas students who had peer support did not. Two experiments in which Mechanical Turk workers edited Wikipedia articles independently or in a group found that working in a group diffused the impact of both positive and negative feedback. We discuss these findings, which highlight the importance of considering the negative consequences of introducing a new socialization practice to an online community.", acknowledgement = ack-nhfb, articleno = "8", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Robert:2018:GSI, author = "Lionel P. {Robert, Jr.} and Andrea Forte and Claudia M{\"u}ller and Michael Prilla and Adriana S. Vivacqua", title = "{GROUP 2018} Special Issue Guest Editorial: Another 25 Years of {GROUP}", journal = j-TSC, volume = "1", number = "3", pages = "9:1--9:??", month = dec, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3290870", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:51 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3290870", abstract = "For over 25 years, the ACM International Conference on Supporting Group Work (GROUP) has been and will continue to be the premier venue for research on Computer-Supported Cooperative Work, Human--Computer Interaction, Computer-Supported Collaborative Learning, and Socio-Technical Studies. The three papers in this special issue demonstrate GROUP's continued commitment to diverse research approaches, emerging technologies, and collaborative work. We hope you enjoy these papers and, like us, look forward to another 25 years of GROUP.", acknowledgement = ack-nhfb, articleno = "9", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Jabbar:2018:PIV, author = "Karim Jabbar and Pernille Bj{\o}rn", title = "Permeability, Interoperability, and Velocity: Entangled Dimensions of Infrastructural Grind at the Intersection of Blockchain and Shipping", journal = j-TSC, volume = "1", number = "3", pages = "10:1--10:??", month = dec, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3288800", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:51 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/bitcoin.bib; https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3288800", abstract = "Blockchain can potentially be appropriated as a social computing technology, which enables transactions across people and artefacts via a large socio-technical information infrastructure constituted by the actions of multiple people and computers. However, Blockchain is not a social computing technology a priori; instead to emerge as one, much effort and work is required to radically transform existing domains, including wrestling with traditions, standards, and legacy. In this article, we expand on previous work on Blockchain as an information infrastructure, and on the notion of infrastructural grind. Infrastructural grind allows us to analytically explore how the emerging Blockchain technology is appropriated into established business domains, in our case the shipping industry. We present ethnographic data unpacking three different accounts of infrastructural grind taking place at the intersection of the shipping and the Blockchain information infrastructures. The results demonstrate that infrastructural grind occurs as a result of various infrastructuring activities taking place at different intersections between the two infrastructures and is constituted of the sum of these activities. We propose a framework in which infrastructural grind is constituted of three entangled dimensions: permeability, interoperability, and velocity. These socio-technical dimensions relate to infrastructural properties such as legacy, embeddedness, and standards, as well as to technical properties of specific solutions deployed at specific points of infrastructural grind. Our analysis shows that these dimensions are enacted differently along the shipping supply chain, and depending on the dynamic interplay between them at various points of infrastructural grind. At different points in time, the infrastructural grind between Blockchain and the shipping domain will thus manifest itself differently and at differential velocity.", acknowledgement = ack-nhfb, articleno = "10", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Yu:2018:MUI, author = "Xianqi Yu and Yuqing Sun and Elisa Bertino and Xin Li", title = "Modeling User Intrinsic Characteristic on Social Media for Identity Linkage", journal = j-TSC, volume = "1", number = "3", pages = "11:1--11:??", month = dec, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3267442", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:51 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3267442", abstract = "Most users on social media have intrinsic characteristics, such as interests and political views, that can be exploited to identify and track them, thus raising privacy and identity concerns in online communities. In this article, we investigate the problem of user identity linkage on two behavior datasets collected from different experiments. Specifically, we focus on user linkage based on users' interaction behaviors with respect to content topics. We propose an embedding method to model a topic as a vector in a latent space to interpret its deep semantics. Then a user is modeled as a vector based on his or her interactions with topics. The embedding representations of topics are learned by optimizing the joint-objective: the compatibility between topics with similar semantics, the discriminative abilities of topics to distinguish identities, and the consistency of the same user's characteristics from two datasets. The effectiveness of our method is verified on real-life datasets and the results show that it outperforms related methods. We also analyze failure cases in the application of our identity linkage method. Our analysis shows that factors such as the visibility and variance of user behaviors and users' group psychology can result in mis-linkages. We also analyze the details of the behaviors of some representative users to understand the essential reasons for their identity being mis-linked. We find that these users have high variance level in their behaviors. According to the above experimental results, we introduce a confidence score into identity linkage to provide information about the accuracy of the method results.", acknowledgement = ack-nhfb, articleno = "11", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Jan:2018:APD, author = "Steve T. K. Jan and Chun Wang and Qing Zhang and Gang Wang", title = "Analyzing Payment-Driven Targeted {Q\&A} Systems", journal = j-TSC, volume = "1", number = "3", pages = "12:1--12:??", month = dec, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3281449", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:51 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3281449", abstract = "Today's online question and answer (Q\&A) services are receiving a large volume of questions. It becomes increasingly challenging to motivate domain experts to provide quick and high-quality answers. Recent systems seek to engage real-world experts by allowing them to set a price on their answers. This leads to a ``targeted'' Q\&A model where users ask questions to a target expert by paying the corresponding price. In this article, we perform a case study on two emerging targeted Q\&A systems, Fenda (China) and Whale (U.S.), to understand how monetary incentives affect user behavior. By analyzing a large dataset of 220K questions (worth 1 million USD), we find that payments indeed enable quick answers from experts, but also drive certain users to game the system for profits. In addition, this model requires users (experts) to proactively adjust their price to make profits. People who are unwilling to lower their prices are likely to hurt their income and engagement over time.", acknowledgement = ack-nhfb, articleno = "12", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Santani:2018:LSL, author = "Darshan Santani and Salvador Ruiz-Correa and Daniel Gatica-Perez", title = "Looking South: Learning Urban Perception in Developing Cities", journal = j-TSC, volume = "1", number = "3", pages = "13:1--13:??", month = dec, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3224182", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:51 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3224182", abstract = "Mobile and social technologies are providing new opportunities to document, characterize, and gather impressions of urban environments. In this article, we present a study that examines urban perceptions of three cities in central Mexico; the study integrates a mobile crowdsourcing framework to collect geo-localized images of urban environments by a local youth community, an online crowdsourcing platform to gather impressions of urban environments along 12 physical and psychological dimensions, and a deep learning framework to automatically infer human impressions of outdoor urban scenes. Our study resulted in a collection of 7,000 geo-localized images containing outdoor scenes and views of each city's built environment, including touristic, historical, and residential neighborhoods, and 144,000 individual judgments from Amazon Mechanical Turk. Statistical analyses show that outdoor environments can be assessed in terms of interrater agreement for most of the urban dimensions by the observers of crowdsourced images. Furthermore, we proposed a methodology to automatically infer human perceptions of outdoor scenes using a variety of low-level image features and generic deep learning (CNN) features. We found that CNN features consistently outperformed all the individual low-level image features for all the studied urban dimensions. We obtained a maximum R 2 of 0.49 using CNN features; for 9 out of 12 labels, the obtained R 2 values exceeded 0.44.", acknowledgement = ack-nhfb, articleno = "13", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Crowston:2018:LPU, author = "Kevin Crowston and Xuefei (Nancy) Deng and Yoram M. Kalman", title = "A Librarian, a Politician, a {UX} Expert, and a Cyberbully Walk into a Special Issue", journal = j-TSC, volume = "1", number = "4", pages = "14:1--14:??", month = dec, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3293613", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3293613", acknowledgement = ack-nhfb, articleno = "14e", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Gasson:2018:PAS, author = "Susan Gasson and Michelle Purcelle", title = "A Participation Architecture to Support User Peripheral Participation in a Hybrid {FOSS} Community", journal = j-TSC, volume = "1", number = "4", pages = "14:1--14:??", month = dec, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3290837", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3290837", abstract = "Participation by product users is critical to success in free, open-source software (FOSS) software communities as they originate and develop valuable ideas for product innovation that are unlikely to originate from the core software development community. Users tend to be involved at the periphery of FOSS communities, suggesting new product ideas, highlighting problems with user documentation, or explaining when the product design fails to fit with the needs of their local user application domain. As an increasing number of FOSS projects employ a hybrid participation model that combines volunteer effort with paid software development effort or product support, it can be difficult for non-developer users to participate in product innovation. In colocated organizations, it is theorized that peripheral participants learn how to engage with the practices and cultural identity of a community through a sociocultural apprenticeship known as legitimate peripheral participation. But we have little literature that explores how legitimate peripheral participation is enabled in online communities. The research study presented in this article explores how participation by peripheral users in a hybrid FOSS project is afforded by participation architecture channels and community mechanisms that mediate two forms of engagement: a ``cognitive apprenticeship'' that introduces participants to situated domain activity, such as the community processes involved in product innovation, and a ``social apprenticeship'' by which participants become enculturated in the system of meanings, values, norms, and behaviors that govern community/participant identity. We identified five stages of community innovation, analyzing sociotechnical affordances of the online participation architecture that enable peripheral participants to internalize the meanings of community practice and to develop a social identity within the FOSS community. Our contribution to theory is provided by the substantive explanation of the cognitive and social translations that enable legitimate peripheral participation in online communities, mediated by sociotechnical access channels and mechanisms that afford two contrasting forms of opportunities for action: those resulting from interactions between a goal-oriented actor and the technology platform features or channels of participation, and those associated with the social structures, roles, and relationships underpinning community interactions. Neither of these is sufficient without the other. Our contribution to practice is provided by an explanation of how four distinct categories of affordance provide these cognitive and social apprenticeship benefits, allowing participation architecture designers to cater to all forms of peripheral user participation. We conclude that the technical affordances of a typical FOSS community participation architecture are insufficient to mediate peripheral participation by nontechnical users. Meaningful participation is mediated by interactions between boundary spanners who play knowledge-brokering and organizational bridging roles. The combination of technical and social affordances enables peripheral participants to acquire an interior view of community practices and social culture and in turn to introduce new ideas, new values, and new rationales to produce a generative dance of innovation that percolates through the community.", acknowledgement = ack-nhfb, articleno = "14", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Tahmasbi:2018:SCA, author = "Nargess Tahmasbi and Elham Rastegari", title = "A Socio-Contextual Approach in Automated Detection of Public Cyberbullying on {Twitter}", journal = j-TSC, volume = "1", number = "4", pages = "15:1--15:??", month = dec, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3290838", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3290838", abstract = "Cyberbullying is a major cyber issue that is common among adolescents. Recent reports show that more than one out of five students in the United States is a victim of cyberbullying. Majority of cyberbullying incidents occur on public social media platforms such as Twitter. Automated cyberbullying detection methods can help prevent cyberbullying before the harm is done on the victim. In this study, we analyze two corpora of cyberbullying tweets from similar incidents to construct and validate an automated detection model. Our method emphasizes the two claims that are supported by our results. First, despite other approaches that assume that cyberbullying instances use vulgar or profane words, we show that they do not necessarily contain negative words. Second, we highlight the importance of context and the characteristics of actors involved and their position in the network structure in detecting cyberbullying rather than only considering the textual content in our analysis.", acknowledgement = ack-nhfb, articleno = "15", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Bay:2018:SME, author = "Morten Bay", title = "Social Media Ethics: a {Rawlsian} Approach to Hypertargeting and Psychometrics in Political and Commercial Campaigns", journal = j-TSC, volume = "1", number = "4", pages = "16:1--16:??", month = dec, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3281450", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3281450", abstract = "Targeted social media advertising based on psychometric user profiling has emerged as an effective way of reaching individuals who are predisposed to accept and be persuaded by the advertising message. This article argues that in the case of political advertising, this may present a democratic and ethical challenge. Hypertargeting methods such as psychometrics can ``crowd out'' political communication with opposing views due to individual attention and time limitations, creating inequities in the access to information essential for voting decisions. The use of psychometrics also appears to have been used to spread both information and misinformation through social media in recent elections in the U.S. and Europe. This article is an applied ethics study of these methods in the context of democratic processes and compared to purely commercial situations. The ethical approach is based on the theoretical, contractarian work of John Rawls, which serves as a lens through which the author examines whether the rights of individuals, as Rawls attributes them, are violated by this practice. The article concludes that within a Rawlsian framework, use of psychometrics in commercial advertising on social media platforms, though not immune to criticism, is not necessarily unethical. In a democracy, however, the individual cannot abandon the consumption of political information, and since using psychometrics in political campaigning makes access to such information unequal, it violates Rawlsian ethics and should be regulated.", acknowledgement = ack-nhfb, articleno = "16", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Kou:2018:USR, author = "Yubo Kou and Colin M. Gray and Austin L. Toombs and Robin S. Adams", title = "Understanding Social Roles in an Online Community of Volatile Practice: A Study of User Experience Practitioners on {Reddit}", journal = j-TSC, volume = "1", number = "4", pages = "17:1--17:??", month = dec, year = "2018", CODEN = "????", DOI = "https://doi.org/10.1145/3283827", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3283827", abstract = "Community of practice (CoP) is a primary framework in social computing research that addresses learning and organizing specific practices in online communities. However, the classic CoP theory does not provide a detailed account for how practices change or evolve. Against the backdrop of a rapidly changing occupational landscape, it is crucial to understand how people participate in online communities focused on practices that have a volatile nature, as well as how social computing tools can best support them. In this article, we examine user experience (UX) design as a volatile practice that has no coherent body of knowledge and lacks a concrete path for newcomers to become a UX professional. Our study site is the ``/r/userexperience'' subreddit, an online UX community where practitioners socialize and learn. Using a mixed-methods approach, we identified five distinct social roles in relation to knowledge production and dissemination in the online community of volatile practice. We demonstrate that knowledge production is highly distributed, involving the participation and sensemaking of community members of varied levels of experience. We discuss how online platforms support online community of volatile practice and how our findings contribute to the CoP literature.", acknowledgement = ack-nhfb, articleno = "17", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Saldivar:2019:OIM, author = "Jorge Saldivar and Florian Daniel and Luca Cernuzzi and Fabio Casati", title = "Online Idea Management for Civic Engagement: A Study on the Benefits of Integration with Social Networking", journal = j-TSC, volume = "2", number = "1", pages = "1:1--1:??", month = feb, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3284982", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3284982", abstract = "Idea Management (IM) has increasingly been adopted in the civic domain as a tool to engage the citizenry in processes oriented toward innovating plans, policies, and services. While Idea Management Systems (IMSs), the software systems that instrument IM, definitely help manage this practice, they require citizens to be committed to a separate virtual space for which they need to register, they must learn how to operate it, and they must return to it frequently. This article presents an approach that integrates IMS with today's most popular digital spaces of participation, the social networking sites, thus enabling citizens to engage in IM processes using ordinary tools and without having to step outside their daily habits. Our goal is to reach out and pull into IM those large and demographically diverse sectors of the society that are already present and participating in social networking sites. Through a real case study of IM in the public sector that mixed both qualitative and quantitative data collection methods, our proposal demonstrates a promising approach to reduce the barriers of participation. We conclude with an analysis of the strengths and limitations of our proposal.", acknowledgement = ack-nhfb, articleno = "1", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Ruiz-Correa:2019:MCC, author = "Salvador Ruiz-Correa and Itzia Ruiz-Correa and Carlo Olmos-Carrillo and Fatima Alba Rend{\'o}n-Huerta and Beatriz Ramirez-Salazar and Laurent Son Nguyen and Daniel Gatica-Perez", title = "Mi Casa es su Casa? {Examining} {Airbnb} Hospitality Exchange Practices in a Developing Economy", journal = j-TSC, volume = "2", number = "1", pages = "2:1--2:??", month = feb, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3299817", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3299817", abstract = "We present a study involving twenty in-depth, semi-structured interviews, a street survey, and online data to understand Airbnb hospitality exchange practices in the context of a developing country. As case studies, we investigate Airbnb practices of both hosts and guests in two tourist venues in Mexico --- the eighth most visited country worldwide. The analysis of the data revealed that Airbnb practices in Mexico have some similarities but also important differences with those previously reported in the literature. We found (1) that money is the main motivation for hosts to participate in Airbnb and that the earned money contributes significantly to the overall income of hosts; (2) that traditions that permeate the Mexican culture motivate hosts to engage in more personal hospitality experiences; (3) that Airbnb host practices lead to the creation of informal jobs that support the local community; and (4) that Airbnb local guests suggest that the lack of contextual information (i.e., the characteristics of the neighborhood where the accommodation is located) is a problem when renting in Mexico owing to safety issues.", acknowledgement = ack-nhfb, articleno = "2", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Difallah:2019:DAF, author = "Djellel Difallah and Alessandro Checco and Gianluca Demartini and Philippe Cudr{\'e}-Mauroux", title = "Deadline-Aware Fair Scheduling for Multi-Tenant Crowd-Powered Systems", journal = j-TSC, volume = "2", number = "1", pages = "3:1--3:??", month = feb, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3301003", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3301003", abstract = "Crowdsourcing has become an integral part of many systems and services that deliver high-quality results for complex tasks such as data linkage, schema matching, and content annotation. A standard function of such crowd-powered systems is to publish a batch of tasks on a crowdsourcing platform automatically and to collect the results once the workers complete them. Currently, these systems provide limited guarantees over the execution time, which is problematic for many applications. Timely completion may even be impossible to guarantee due to factors specific to the crowdsourcing platform, such as the availability of workers and concurrent tasks. In our previous work, we presented the architecture of a crowd-powered system that reshapes the interaction mechanism with the crowd. Specifically, we studied a push-crowdsourcing model whereby the workers receive tasks instead of selecting them from a portal. Based on this interaction model, we employed scheduling techniques similar to those found in distributed computing infrastructures to automate the task assignment process. In this work, we first devise a generic scheduling strategy that supports both fairness and deadline-awareness. Second, to complement the proof-of-concept experiments previously performed with the crowd, we present an extensive set of simulations meant to analyze the properties of the proposed scheduling algorithms in an environment with thousands of workers and tasks. Our experimental results show that, by accounting for human factors, micro-task scheduling can achieve fairness for best-effort batches and boosts production batches.", acknowledgement = ack-nhfb, articleno = "3", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Santos:2019:AAQ, author = "Tiago Santos and Simon Walk and Roman Kern and Markus Strohmaier and Denis Helic", title = "Activity Archetypes in Question-and-Answer ({Q\&A}) {Websites} --- A Study of 50 {Stack Exchange} Instances", journal = j-TSC, volume = "2", number = "1", pages = "4:1--4:??", month = feb, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3301612", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3301612", abstract = "Millions of users on the Internet discuss a variety of topics on Question-and-Answer (Q\&A) instances. However, not all instances and topics receive the same amount of attention, as some thrive and achieve self-sustaining levels of activity, while others fail to attract users and either never grow beyond being a small niche community or become inactive. Hence, it is imperative to not only better understand but also to distill deciding factors and rules that define and govern sustainable Q\&A instances. We aim to empower community managers with quantitative methods for them to better understand, control, and foster their communities, and thus contribute to making the Web a more efficient place to exchange information. To that end, we extract, model, and cluster a user activity-based time series from 50 randomly selected Q\&A instances from the Stack Exchange network to characterize user behavior. We find four distinct types of user activity temporal patterns, which vary primarily according to the users' activity frequency. Finally, by breaking down total activity in our 50 Q\&A instances by the previously identified user activity profiles, we classify those 50 Q\&A instances into three different activity profiles. Our parsimonious categorization of Q\&A instances aligns with the stage of development and maturity of the underlying communities, and can potentially help operators of such instances: We not only quantitatively assess progress of Q\&A instances, but we also derive practical implications for optimizing Q\&A community building efforts, as we, e.g., recommend which user types to focus on at different developmental stages of a Q\&A community.", acknowledgement = ack-nhfb, articleno = "4", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Cho:2019:UBF, author = "Jin-Hee Cho and Scott Rager and John O'Donovan and Sibel Adali and Benjamin D. Horne", title = "Uncertainty-based False Information Propagation in Social Networks", journal = j-TSC, volume = "2", number = "2", pages = "5:1--5:??", month = oct, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3311091", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3311091", abstract = "Many network scientists have investigated the problem of mitigating or removing false information propagated in social networks. False information falls into two broad categories: disinformation and misinformation. Disinformation represents false information that is knowingly shared and distributed with malicious intent. Misinformation in contrast is false information shared unwittingly, without any malicious intent. Many existing methods to mitigate or remove false information in networks concentrate on methods to find a set of seeding nodes (or agents) based on their network characteristics (e.g., centrality features) to treat. The aim of these methods is to disseminate correct information in the most efficient way. However, little work has focused on the role of uncertainty as a factor in the formulation of agents' opinions. Uncertainty-aware agents can form different opinions and eventual beliefs about true or false information resulting in different patterns of information diffusion in networks. In this work, we leverage an opinion model, called Subjective Logic (SL), which explicitly deals with a level of uncertainty in an opinion where the opinion is defined as a combination of belief, disbelief, and uncertainty, and the level of uncertainty is easily interpreted as a person's confidence in the given belief or disbelief. However, SL considers the dimension of uncertainty only derived from a lack of information (i.e., ignorance), not from other causes, such as conflicting evidence. In the era of Big Data, where we are flooded with information, conflicting information can increase uncertainty (or ambiguity) and have a greater effect on opinions than a lack of information (or ignorance). To enhance the capability of SL to deal with ambiguity as well as ignorance, we propose an SL-based opinion model that includes a level of uncertainty derived from both causes. By developing a variant of the Susceptible-Infected-Recovered epidemic model that can change an agent's status based on the state of their opinions, we capture the evolution of agents' opinions over time. We present an analysis and discussion of critical changes in network outcomes under varying values of key design parameters, including the frequency ratio of true or false information propagation, centrality metrics used for selecting seeding false informers and true informers, an opinion decay factor, the degree of agents' prior belief, and the percentage of true informers. We validated our proposed opinion model using both the synthetic network environments and realistic network environments considering a real network topology, user behaviors, and the quality of news articles. The proposed agent's opinion model and corresponding strategies to deal with false information can be applicable to combat the spread of fake news in various social media platforms (e.g., Facebook).", acknowledgement = ack-nhfb, articleno = "5", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Feyisetan:2019:BMI, author = "Oluwaseyi Feyisetan and Elena Simperl", title = "Beyond Monetary Incentives: Experiments in Paid Microtask Contests", journal = j-TSC, volume = "2", number = "2", pages = "6:1--6:??", month = oct, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3321700", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3321700", abstract = "In this article, we aim to gain a better understanding into how paid microtask crowdsourcing could leverage its appeal and scaling power by using contests to boost crowd performance and engagement. We introduce our microtask-based annotation platform Wordsmith, which features incentives such as points, leaderboards, and badges on top of financial remuneration. Our analysis focuses on a particular type of incentive, contests, as a means to apply crowdsourcing in near-real-time scenarios, in which requesters need labels quickly. We model crowdsourcing contests as a continuous-time Markov chain with the objective to maximise the output of the crowd workers, while varying a parameter that determines whether a worker is eligible for a reward based on their present rank on the leaderboard. We conduct empirical experiments in which crowd workers recruited from CrowdFlower carry out annotation microtasks on Wordsmith-in our case, to identify named entities in a stream of Twitter posts. In the experimental conditions, we test different reward spreads and record the total number of annotations received. We compare the results against a control condition in which the same annotation task was completed on CrowdFlower without a time or contest constraint. The experiments show that rewarding only the best contributors in a live contest could be a viable model to deliver results faster, though quality might suffer for particular types of annotation tasks. Increasing the reward spread leads to more work being completed, especially by the top contestants. Overall, the experiments shed light on possible design improvements of paid microtasks platforms to boost task performance and speed and make the overall experience more fair and interesting for crowd workers.", acknowledgement = ack-nhfb, articleno = "6", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Wu:2019:DNP, author = "Qunfang Wu and Yisi Sang and Yun Huang", title = "Danmaku: A New Paradigm of Social Interaction via Online Videos", journal = j-TSC, volume = "2", number = "2", pages = "7:1--7:??", month = oct, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3329485", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3329485", abstract = "Danmaku is a new commentary design for online videos. Unlike traditional forums where comments are displayed asynchronously below a video screen in order of when the comments are posted, danmaku comments are overlaid on the screen and displayed along with the video. This new design creates a pseudo-synchronous effect by displaying asynchronous comments with certain video segments in a synchronous fashion, and the links between danmaku comments and the video segments are defined by users. Danmaku is gaining popularity; however, little is known, compared to the traditional forum design, regarding how effective the new danmaku design is in promoting social interactions among online users. In this work, we collected 38,399 danmaku comments and 16,414 forum comments posted in 2017 on 30 popular videos on Bilibili.com. We compared user participation from different perspectives, e.g., number of comments, sentiment of the comments, language patterns, and ways of knowledge sharing. Our results showed that compared to the traditional linear design, the danmaku design significantly promoted user participation, i.e., there were more users and more comments in danmaku. Additionally, active users posted more positive comments, though they were anonymous; more linguistic memes were used in danmaku, suggesting that it was used to facilitate community-building. In addition to its effectiveness in promoting social interactions, our results also show that danmaku and forum designs play complementary roles in knowledge sharing, where danmaku comments involved more explicit (know-what) knowledge sharing, and forum comments exhibited more tacit (know-how) knowledge sharing. Our findings contribute to the development of social presence theory and have design implications for better social interaction via online videos.", acknowledgement = ack-nhfb, articleno = "7", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Posch:2019:MMC, author = "Lisa Posch and Arnim Bleier and Clemens M. Lechner and Daniel Danner and Fabian Fl{\"o}ck and Markus Strohmaier", title = "Measuring Motivations of Crowdworkers: The Multidimensional Crowdworker Motivation Scale", journal = j-TSC, volume = "2", number = "2", pages = "8:1--8:??", month = oct, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3335081", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:52 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3335081", abstract = "Crowd employment is a new form of short-term and flexible employment that has emerged during the past decade. To understand this new form of employment, it is crucial to illuminate the underlying motivations of the workforce involved in it. This article introduces the Multidimensional Crowdworker Motivation Scale (MCMS), a scale for measuring the motivation of crowdworkers on microtask platforms. The MCMS is theoretically grounded in self-determination theory and tailored specifically to the context of paid crowdsourced microlabor. The scale measures the motivation of crowdworkers along six motivational dimensions, ranging from amotivation to intrinsic motivation. We validated the MCMS on data collected in ten countries and three income groups. Factor analyses demonstrated that the MCMS's six dimensions showed good model fit, validity, and reliability. Furthermore, our measurement invariance tests showed that motivations measured with the MCMS are comparable across countries and income groups, and we present a first cross-country comparison of crowdworker motivations. This work constitutes an important first step toward understanding the motivations of the international crowd workforce.", acknowledgement = ack-nhfb, articleno = "8", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Mourad:2019:PGE, author = "Ahmed Mourad and Falk Scholer and Walid Magdy and Mark Sanderson", title = "A Practical Guide for the Effective Evaluation of {Twitter} User Geolocation", journal = j-TSC, volume = "2", number = "3", pages = "9:1--9:23", month = dec, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3352572", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:51 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3352572", abstract = "Geolocating Twitter users-the task of identifying their home locations-serves a wide range of community and business applications such as managing natural crises, journalism, and public health. Many approaches have been proposed for automatically \ldots{}", acknowledgement = ack-nhfb, articleno = "9", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Tausczik:2019:IGS, author = "Yla Tausczik and Xiaoyun Huang", title = "The Impact of Group Size on the Discovery of Hidden Profiles in Online Discussion Groups", journal = j-TSC, volume = "2", number = "3", pages = "10:1--10:??", month = nov, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3359758", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:53 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3359758", abstract = "Online discussions help individuals to gather knowledge and make important decisions in diverse areas from health and finance to computing and data science. Online discussion groups exhibit unique group dynamics not found in traditional small groups, such as staggered participation and asynchronous communication, and the effects of these features on knowledge sharing is not well understood. In this article, we focus on one such aspect: wide variation in group size. Using a controlled experiment with a hidden profile task, we evaluate online discussion groups' capacity to share distributed knowledge when group size ranges from 4 to 32 participants. We found that individuals in medium-sized discussions performed the best, and we suggest that this represents a tradeoff in which larger groups tend to share more facts, but have more difficulty than smaller groups at resolving misunderstandings.", acknowledgement = ack-nhfb, articleno = "10", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Wright:2019:HMH, author = "Darryl E. Wright and Lucy Fortson and Chris Lintott and Michael Laraia and Mike Walmsley", title = "Help Me to Help You: Machine Augmented Citizen Science", journal = j-TSC, volume = "2", number = "3", pages = "11:1--11:??", month = nov, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3362741", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Fri Dec 6 16:55:53 MST 2019", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/citation.cfm?id=3362741", abstract = "The increasing size of datasets with which researchers in a variety of domains are confronted has led to a range of creative responses, including the deployment of modern machine learning techniques and the advent of large scale ``citizen science projects.'' However, the ability of the latter to provide suitably large training sets for the former is stretched as the size of the problem (and competition for attention amongst projects) grows. We explore the application of unsupervised learning to leverage structure that exists in an initially unlabelled dataset. We simulate grouping similar points before presenting those groups to volunteers to label. Citizen science labelling of grouped data is more efficient, and the gathered labels can be used to improve efficiency further for labelling future data. To demonstrate these ideas, we perform experiments using data from the Pan-STARRS Survey for Transients (PSST) with volunteer labels gathered by the Zooniverse project, Supernova Hunters and a simulated project using the MNIST handwritten digit dataset. Our results show that, in the best case, we might expect to reduce the required volunteer effort by 87.0\% and 92.8\% for the two datasets, respectively. These results illustrate a symbiotic relationship between machine learning and citizen scientists where each empowers the other with important implications for the design of citizen science projects in the future.", acknowledgement = ack-nhfb, articleno = "11", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Kotsios:2019:ACG, author = "Andreas Kotsios and Matteo Magnani and Davide Vega and Luca Rossi and Irina Shklovski", title = "An Analysis of the Consequences of the {General Data Protection Regulation} on Social Network Research", journal = j-TSC, volume = "2", number = "3", pages = "12:1--12:22", month = dec, year = "2019", CODEN = "????", DOI = "https://doi.org/10.1145/3365524", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:51 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3365524", abstract = "This article examines the principles outlined in the General Data Protection Regulation in the context of social network data. We provide both a practical guide to General Data Protection Regulation--compliant social network data processing, covering \ldots{}", acknowledgement = ack-nhfb, articleno = "12", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Deng:2020:ISI, author = "Xuefei (Nancy) Deng and Yoram M. Kalman", title = "Introduction to the Special Issue on {HICSS 2019}", journal = j-TSC, volume = "2", number = "4", pages = "13:1--13:2", month = jan, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3370666", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:51 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3370666", acknowledgement = ack-nhfb, articleno = "13", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Forkan:2020:ITS, author = "Abdur Rahim Mohammad Forkan and Philip Branch and Prem Prakash Jayaraman and Andre Ferretto", title = "An {Internet-of-Things} Solution to Assist Independent Living and Social Connectedness in Elderly", journal = j-TSC, volume = "2", number = "4", pages = "14:1--14:24", month = jan, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3363563", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:51 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3363563", abstract = "Social isolation has been identified as a major risk in elderly people living alone because of their association with cognitive decline, depression, and other mental health-related issues. Ambient Assisted Living (AAL) is identified as a key technology \ldots{}", acknowledgement = ack-nhfb, articleno = "14", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Cifor:2020:GDD, author = "Marika Cifor and Patricia Garcia", title = "Gendered by Design: a Duoethnographic Study of Personal Fitness Tracking Systems", journal = j-TSC, volume = "2", number = "4", pages = "15:1--15:22", month = jan, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3364685", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:51 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3364685", abstract = "Using fitness trackers to generate and collect quantifiable data is a widespread practice aimed at better understanding one's health and body. The intentional design of fitness trackers as genderless or universal is predicated on masculinist design \ldots{}", acknowledgement = ack-nhfb, articleno = "15", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Baucum:2020:TGG, author = "Matthew Baucum and Jinshu Cui and Richard S. John", title = "Temporal and Geospatial Gradients of Fear and Anger in Social Media Responses to Terrorism", journal = j-TSC, volume = "2", number = "4", pages = "16:1--16:16", month = jan, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3363565", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:51 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3363565", abstract = "Research suggests that public fear and anger in wake of a terror attack can each uniquely contribute to policy attitudes and risk-avoidance behaviors. Given the importance of these negative-valanced emotions, there is value in studying how terror events \ldots{}", acknowledgement = ack-nhfb, articleno = "16", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Fleischmann:2020:LPM, author = "A. Carolin Fleischmann and Jolanta Aritz and Peter Cardon", title = "Language Proficiency and Media Richness in Global Virtual Teams: Impacts on Satisfaction, Inclusion, and Task Accomplishment", journal = j-TSC, volume = "2", number = "4", pages = "17:1--17:18", month = jan, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3363564", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:51 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3363564", abstract = "Virtual teams that use integrated communication platforms are ubiquitous in cross-border collaboration. This study explores the use of communication media and team outcomes-both social outcomes and task accomplishment-in multilingual virtual teams. \ldots{}", acknowledgement = ack-nhfb, articleno = "17", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Luther:2020:ISI, author = "Kurt Luther and Andrea Kavanaugh and Jacob Thebault-Spieker and Judd Antin", title = "Introduction to the Special Issue on Negotiating Truth and Trust in Socio-Technical Systems", journal = j-TSC, volume = "3", number = "1", pages = "1:1--1:1", month = feb, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3378677", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:52 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3378677", acknowledgement = ack-nhfb, articleno = "1", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Gach:2020:ETP, author = "Katie Z. Gach and Jed R. Brubaker", title = "Experiences of Trust in Postmortem Profile Management", journal = j-TSC, volume = "3", number = "1", pages = "2:1--2:26", month = feb, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3365525", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:52 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3365525", abstract = "In the landscape of online social networking sites, many platforms are reaching a scale and longevity that require designers to address the postmortem data interactions that follow people's deaths. To evaluate the experiences and challenges people face \ldots{}", acknowledgement = ack-nhfb, articleno = "2", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Jones:2020:MMA, author = "Helen S. Jones and Wendy Moncur", title = "A Mixed-Methods Approach to Understanding Funder Trust and Due Diligence Processes in Online Crowdfunding Investment", journal = j-TSC, volume = "3", number = "1", pages = "3:1--3:29", month = feb, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3373148", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:52 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3373148", abstract = "We report on two studies undertaken to establish the factors that affect funders' trust and likelihood to invest in crowdfunding campaigns online. Findings from an initial small-scale qualitative study are reported and subsequently triangulated in a \ldots{}", acknowledgement = ack-nhfb, articleno = "3", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Porter:2020:VNC, author = "Emily Porter and P. M. Krafft and Brian Keegan", title = "Visual Narratives and Collective Memory across Peer-Produced Accounts of Contested Sociopolitical Events", journal = j-TSC, volume = "3", number = "1", pages = "4:1--4:20", month = feb, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3373147", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:52 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3373147", abstract = "Studying cultural variation in recollections of sociopolitical events is crucial for achieving diverse understandings of such events. To date, most studies in this area have focused on analyzing variation in texts describing events. Here, we analyze \ldots{}", acknowledgement = ack-nhfb, articleno = "4", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Arazy:2020:ERP, author = "Ofer Arazy and Aron Lindberg and Shakked Lev and Kexian Wu and Alex Yarovoy", title = "Emergent Routines in Peer-Production: Examining the Temporal Evolution of {Wikipedia}'s Work Sequences", journal = j-TSC, volume = "3", number = "1", pages = "5:1--5:24", month = feb, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3366711", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Tue Apr 7 07:39:52 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3366711", abstract = "Current theories struggle to explain how participants in peer-production self-organize to produce high-quality knowledge in the absence of formal coordination mechanisms. The literature traditionally holds that norms, policies, and roles make \ldots{}", acknowledgement = ack-nhfb, articleno = "5", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Kobs:2020:ECO, author = "Konstantin Kobs and Albin Zehe and Armin Bernstetter and Julian Chibane and Jan Pfister and Julian Tritscher and Andreas Hotho", title = "Emote-Controlled: Obtaining Implicit Viewer Feedback Through Emote-Based Sentiment Analysis on Comments of Popular {Twitch.tv} Channels", journal = j-TSC, volume = "3", number = "2", pages = "7:1--7:34", month = apr, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3365523", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Mon Apr 20 09:08:34 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3365523", abstract = "In recent years, streaming platforms for video games have seen increasingly large interest, as so-called esports have developed into a lucrative branch of business. Like for other sports, watching esports has become a new kind of entertainment medium, \ldots{}", acknowledgement = ack-nhfb, articleno = "7", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Feng:2020:NER, author = "Yunhe Feng and Zheng Lu and Wenjun Zhou and Zhibo Wang and Qing Cao", title = "New Emoji Requests from {Twitter} Users: When, Where, Why, and What We Can Do About Them", journal = j-TSC, volume = "3", number = "2", pages = "8:1--8:25", month = apr, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3370750", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Mon Apr 20 09:08:34 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3370750", abstract = "As emojis become prevalent in personal communications, people are always looking for new, interesting emojis to express emotions, show attitudes, or simply visualize texts. In this study, we collected more than 30 million tweets mentioning the word \ldots{}", acknowledgement = ack-nhfb, articleno = "8", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Kim:2020:NMO, author = "Joongyum Kim and Taesik Gong and Bogoan Kim and Jaeyeon Park and Woojeong Kim and Evey Huang and Kyungsik Han and Juho Kim and Jeonggil Ko and Sung-Ju Lee", title = "No More One Liners: Bringing Context into Emoji Recommendations", journal = j-TSC, volume = "3", number = "2", pages = "9:1--9:25", month = apr, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3373146", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Mon Apr 20 09:08:34 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3373146", abstract = "As emojis are increasingly used in everyday online communication such as messaging, email, and social networks, various techniques have attempted to improve the user experience in communicating emotions and information through emojis. Emoji \ldots{}", acknowledgement = ack-nhfb, articleno = "9", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Robertson:2020:EST, author = "Alexander Robertson and Walid Magdy and Sharon Goldwater", title = "Emoji Skin Tone Modifiers: Analyzing Variation in Usage on Social Media", journal = j-TSC, volume = "3", number = "2", pages = "11:1--11:25", month = apr, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3377479", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Mon Apr 20 09:08:34 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3377479", abstract = "Emoji are widely used in computer-mediated communication to express concepts and emotions. Skin tone modifiers were added in 2015 with the hope of better representing user diversity, and, indeed, recent work has shown that these modifiers are especially \ldots{}", acknowledgement = ack-nhfb, articleno = "11", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Alismail:2020:EUP, author = "Sarah Alismail and Hengwei Zhang", title = "Exploring and Understanding Participants' Perceptions of Facial Emoji {Likert} Scales in Online Surveys: a Qualitative Study", journal = j-TSC, volume = "3", number = "2", pages = "12:1--12:12", month = apr, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3382505", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Mon Apr 20 09:08:34 MDT 2020", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3382505", abstract = "The present study aims to explore participants' experiences in interacting with a facial emoji Likert scale in online surveys to understand their perceptions, interpretations, and opinions of emojis in online surveys. A qualitative research approach has \ldots{}", acknowledgement = ack-nhfb, articleno = "12", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Marin:2020:MTC, author = "Ericsson Marin and Ruocheng Guo and Paulo Shakarian", title = "Measuring Time-Constrained Influence to Predict Adoption in Online Social Networks", journal = j-TSC, volume = "3", number = "3", pages = "13:1--13:26", month = aug, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3372785", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Sat Mar 27 09:27:49 MDT 2021", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3372785", abstract = "Recently, there has been strong interest in measuring influence in online social networks. Different measures have been proposed to predict when individuals will adopt a new behavior, given the influence produced by their friends. In this article, we \ldots{}", acknowledgement = ack-nhfb, articleno = "13", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Wood:2020:CTU, author = "Ian D. Wood and John Glover and Paul Buitelaar", title = "Community Topic Usage in Online Social Media", journal = j-TSC, volume = "3", number = "3", pages = "14:1--14:21", month = aug, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3377870", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Sat Mar 27 09:27:49 MDT 2021", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3377870", abstract = "Humans have a natural tendency to form social groups, and individual behaviours are thought to be strongly influenced by a salient sense of belonging to one or more such groups. It can be expected, therefore, that there will be behaviours that are \ldots{}", acknowledgement = ack-nhfb, articleno = "14", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Al-Ramahi:2020:MUG, author = "Mohammad Al-Ramahi and Cherie Noteboom", title = "Mining User-generated Content of Mobile Patient Portal: Dimensions of User Experience", journal = j-TSC, volume = "3", number = "3", pages = "15:1--15:24", month = aug, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3394831", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Sat Mar 27 09:27:49 MDT 2021", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3394831", abstract = "Patient portals are positioned as a central component of patient engagement through the potential to change the physician-patient relationship and enable chronic disease self-management. The incorporation of patient portals provides the promise to \ldots{}", acknowledgement = ack-nhfb, articleno = "15", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Lyu:2020:FFO, author = "Tianshu Lyu and Lidong Bing and Zhao Zhang and Yan Zhang", title = "{FOX}: Fast Overlapping Community Detection Algorithm in Big Weighted Networks", journal = j-TSC, volume = "3", number = "3", pages = "16:1--16:23", month = aug, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3404970", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Sat Mar 27 09:27:49 MDT 2021", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3404970", abstract = "Community detection is a hot topic for researchers in the fields of graph theory, social networks, and biological networks. Generally speaking, a community refers to a group of densely linked nodes in the network. Nodes usually have more than one \ldots{}", acknowledgement = ack-nhfb, articleno = "16", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Talukder:2020:SFA, author = "Sajedul Talukder and Bogdan Carbunar", title = "A Study of Friend Abuse Perception in {Facebook}", journal = j-TSC, volume = "3", number = "4", pages = "17:1--17:34", month = oct, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3408040", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Sat Mar 27 09:32:14 MDT 2021", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3408040", abstract = "Social networks like Facebook provide functionality that can expose users to abuse perpetrated by their contacts. For instance, Facebook users can often access sensitive profile information and timeline posts of their friends and also post abuse on the \ldots{}", acknowledgement = ack-nhfb, articleno = "17", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Franzmann:2020:HMA, author = "Daniel Franzmann and Arvid Eichner and Roland Holten", title = "How Mobile App Design Overhauls Can Be Disastrous in Terms of User Perception: The Case of Snapchat", journal = j-TSC, volume = "3", number = "4", pages = "18:1--18:21", month = oct, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3409585", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Sat Mar 27 09:32:14 MDT 2021", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3409585", abstract = "Smartphone apps are regularly updated and enhanced. However, design overhauls-that change the whole look of an app-are not expected to impact a user's behavior and, more specifically, continuance intentions. We reevaluate this claim based on the \ldots{}", acknowledgement = ack-nhfb, articleno = "18", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{SantosDeOliveira:2020:DPT, author = "Lucas {Santos De Oliveira} and Pedro O. S. Vaz-de-Melo and Marcelo S. Amaral and Jos{\'e} Ant{\^o}nio G. Pinho", title = "Do Politicians Talk about Politics? {Assessing} Online Communication Patterns of {Brazilian} Politicians", journal = j-TSC, volume = "3", number = "4", pages = "19:1--19:28", month = oct, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3412326", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Sat Mar 27 09:32:14 MDT 2021", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3412326", abstract = "Politicians need to decide how to communicate with their voters to build their reputations. This problem is especially complicated during important political events such as the elections when politicians must decide whether to confront and share their \ldots{}", acknowledgement = ack-nhfb, articleno = "19", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Wisniewski:2020:HFU, author = "Pamela Wisniewski and Karla Badillo-Urquiola and Zahra Ashtorab and Jessica Vitak", title = "Happiness and Fear: Using Emotions as a Lens to Disentangle How Users Felt About the Launch of {Facebook} Reactions", journal = j-TSC, volume = "3", number = "4", pages = "20:1--20:25", month = oct, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3414825", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Sat Mar 27 09:32:14 MDT 2021", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3414825", abstract = "In February 2016, Facebook launched Reactions, an interactive feature expanding the Like button to include five additional emotional responses: Love, Sadness, Anger, Wow, and Haha. In this article, we examine users' feedback about this new feature and \ldots{}", acknowledgement = ack-nhfb, articleno = "20", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Yarovoy:2020:ACS, author = "Alex Yarovoy and Yiftach Nagar and Einat Minkov and Ofer Arazy", title = "Assessing the Contribution of Subject-matter Experts to {Wikipedia}", journal = j-TSC, volume = "3", number = "4", pages = "21:1--21:36", month = oct, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3416853", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Sat Mar 27 09:32:14 MDT 2021", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3416853", abstract = "Attempts to explain the success of knowledge co-production communities have focused on organizational design, including structure, motivation, roles, and coordination mechanisms. Meantime, the role that subject-matter-experts play in these knowledge production settings has largely been left in a theoretical and empirical void; its existence has been assumed, but we know little about its nature and scope, as it is difficult to observe. In this article, we start filling that void, using Wikipedia as the setting for our empirical investigation. First, we carefully crossed information from individual Wikipedia editor pages with external sources such as Google Scholar to reliably identify editors who are credentialed experts. Matching these credentialed experts with their Wikipedia editing patterns, we used this dataset to train a machine learning classifier that we then employed to identify additional expert editors and assess the nature and the scope of their work across Wikipedia. Our results suggest that the scope of expert involvement is substantial, albeit with considerable differences across topics. We estimate that approximately 10\%--30\% of Wikipedia s contributors have substantial subject-matter expertise in the topics that they edit. We discuss implications for theory and practice of peer-production.", acknowledgement = ack-nhfb, articleno = "21", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Chamberlain:2021:NAT, author = "Joshua M. Chamberlain and Francesca Spezzano and Jaclyn J. Kettler and Bogdan Dit", title = "A Network Analysis of {Twitter} Interactions by Members of the {U.S. Congress}", journal = j-TSC, volume = "4", number = "1", pages = "1:1--1:22", month = apr, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3439827", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:46 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3439827", abstract = "Usage of Twitter by politicians has become more prevalent in recent years, with a goal of influencing the electorate and public perception. We collect, explore, and analyze over 12 years of public Twitter interactions of U.S. senators and \ldots{}", acknowledgement = ack-nhfb, articleno = "1", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Khasawneh:2021:IPS, author = "Amro Khasawneh and Kapil Chalil Madathil and Heidi Zinzow and Pamela Wisniewski and Amal Ponathil and Hunter Rogers and Sruthy Agnisarman and Rebecca Roth and Meera Narasimhan", title = "An Investigation of the Portrayal of Social Media Challenges on {YouTube} and {Twitter}", journal = j-TSC, volume = "4", number = "1", pages = "2:1--2:23", month = apr, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3444961", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:46 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3444961", abstract = "A social media phenomenon that has received limited research attention is the advent and propagation of viral online challenges. Several of these challenges entail self-harming behavior, which, combined with their viral nature, poses physical and \ldots{}", acknowledgement = ack-nhfb, articleno = "2", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Mirbabaie:2021:DCA, author = "Milad Mirbabaie and Felix Br{\"u}nker and Magdalena Wischnewski and Judith Meinert", title = "The Development of Connective Action during Social Movements on Social Media", journal = j-TSC, volume = "4", number = "1", pages = "3:1--3:21", month = apr, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3446981", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:46 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3446981", abstract = "In recent years, the development of information communication technologies, such as social media, has changed the way people communicate and engage in social movements. While conventional movements were fought in the streets, social media has enabled \ldots{}", acknowledgement = ack-nhfb, articleno = "3", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Holopainen:2021:SVR, author = "Jani Holopainen and Osmo Mattila and Petri Parvinen and Essi P{\"o}yry and Tuure Tuunanen", title = "Sociability in Virtual Reality: Evaluations of Three Iterative Application Versions along a Design Science Research Process", journal = j-TSC, volume = "4", number = "1", pages = "4:1--4:21", month = apr, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3450269", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:46 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3450269", abstract = "This study investigates sociability in the context of immersive Virtual Reality (VR). A Design Science Research process was applied, and three iterative development versions of a VR application were studied. Sociability around the technology was \ldots{}", acknowledgement = ack-nhfb, articleno = "4", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Purao:2021:DBS, author = "Sandeep Purao and David M. Murungi and David Yates", title = "Deliberative Breakdowns in the Social Representation Process: Evidence from Reader Comments in Partisan News Sites", journal = j-TSC, volume = "4", number = "2", pages = "5:1--5:35", month = jun, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3450143", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:47 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3450143", abstract = "This article examines breakdowns that occur when readers at partisan news websites attempt to understand a challenging news event. We conduct the work with the 2017 Alabama senate race as the empirical context marked by the nomination of Republican Roy \ldots{}", acknowledgement = ack-nhfb, articleno = "5", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Jarvela:2021:AVR, author = "Simo J{\"a}rvel{\"a} and Benjamin Cowley and Mikko Salminen and Giulio Jacucci and Juho Hamari and Niklas Ravaja", title = "Augmented Virtual Reality Meditation: Shared Dyadic Biofeedback Increases Social Presence Via Respiratory Synchrony", journal = j-TSC, volume = "4", number = "2", pages = "6:1--6:19", month = jun, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3449358", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:47 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3449358", abstract = "In a novel experimental setting, we augmented a variation of traditional compassion meditation with our custom-built VR environment for multiple concurrent users. The presence of another user's avatar in shared virtual space supports social interactions \ldots{}", acknowledgement = ack-nhfb, articleno = "6", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Mcdonald:2021:ABS, author = "David W. Mcdonald and Mark Zachry", title = "On the Alignment Between Self-Declared Gender Identity and Topical Content from {Wikipedia}", journal = j-TSC, volume = "4", number = "2", pages = "7:1--7:69", month = jun, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3450753", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:47 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3450753", abstract = "Wikipedia is an important information source for much of the world. One well-established problem is that editors of Wikipedia are overwhelmingly men. This gender gap in participation has resulted in a concern that the content suffers biases as a result \ldots{}", acknowledgement = ack-nhfb, articleno = "7", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Greitzer:2021:EIT, author = "Frank L. Greitzer and Wanru Li and Kathryn B. Laskey and James Lee and Justin Purl", title = "Experimental Investigation of Technical and Human Factors Related to Phishing Susceptibility", journal = j-TSC, volume = "4", number = "2", pages = "8:1--8:48", month = jun, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3461672", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:47 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3461672", abstract = "This article reports on a simulated phishing experiment targeting 6,938 faculty and staff at George Mason University. The three-week phishing campaign employed three types of phishing exploits and examined demographic, linked workstation/network \ldots{}", acknowledgement = ack-nhfb, articleno = "8", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Zhou:2021:BPT, author = "Michelle X. Zhou and Huahai Yang and Gloria Mark and Mengdie Hu and Jalal Mahumd and Aditya Pal", title = "Building Personalized Trust: Discovering What Makes One Trust and Act on {Facebook} Posts", journal = j-TSC, volume = "4", number = "3", pages = "9:1--9:28", month = sep, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3468977", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:48 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3468977", abstract = "What makes one trust or distrust a post on Facebook? What makes one willing to take an action on the post, such as sharing it with friends, following its advice, or even making a donation for its cause? We hypothesize that personal factors in addition to \ldots{}", acknowledgement = ack-nhfb, articleno = "9", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Papangelis:2021:LIT, author = "Konstantinos Papangelis and Ioanna Lykourentzou and Vassilis-Javed Khan and Alan Chamberlain and Ting Cao and Michael Saker and Nicolas Lalone", title = "Locating Identities in Time: an Examination of the Formation and Impact of Temporality on Presentations of the Self through Location-Based Social Networks", journal = j-TSC, volume = "4", number = "3", pages = "10:1--10:23", month = sep, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3473043", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:48 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3473043", abstract = "Studies of identity and location-based social networks (LBSN) have tended to focus on the performative aspects associated with marking one's location. Yet these studies often present this practice as being an a priori aspect of locative media. What is \ldots{}", acknowledgement = ack-nhfb, articleno = "10", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Balayn:2021:AIH, author = "Agathe Balayn and Jie Yang and Zoltan Szlavik and Alessandro Bozzon", title = "Automatic Identification of Harmful, Aggressive, Abusive, and Offensive Language on the {Web}: a Survey of Technical Biases Informed by Psychology Literature", journal = j-TSC, volume = "4", number = "3", pages = "11:1--11:56", month = sep, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3479158", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:48 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3479158", abstract = "The automatic detection of conflictual languages (harmful, aggressive, abusive, and offensive languages) is essential to provide a healthy conversation environment on the Web. To design and develop detection systems that are capable of achieving \ldots{}", acknowledgement = ack-nhfb, articleno = "11", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Alvarez:2021:CCE, author = "Katrina Paola B. Alvarez and Vivian Hsueh Hua Chen", title = "Community and Capital: Experiences of Women Game Streamers in {Southeast Asia}", journal = j-TSC, volume = "4", number = "3", pages = "12:1--12:22", month = sep, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3481888", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Wed Mar 2 06:25:48 MST 2022", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3481888", abstract = "This study explores how women game live streamers in Southeast Asia make sense of their experiences as performers and gamers on streaming platforms dominated by Western products and performers. We conducted 13 in-depth interviews guided by an interpretive \ldots{}", acknowledgement = ack-nhfb, articleno = "12", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Emes:2022:COM, author = "Claire Stravato Emes and Arul Chib", title = "Co-opted Marginality in a Controlled Media Environment: The Influence of Social Media Affordances on the Immigration Discourse", journal = j-TSC, volume = "5", number = "1--4", pages = "1:1--1:??", month = dec, year = "2022", DOI = "https://doi.org/10.1145/3532103", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Fri Aug 25 12:37:49 MDT 2023", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3532103", abstract = "An emerging narrative on social media challenges the premise that the repertoire against immigrants is caused by xenophobia. We identify and propose the \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "1", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Mejova:2022:MPA, author = "Yelena Mejova and Jisun An and Gianmarco {De Francisci Morales} and Haewoon Kwak", title = "Modeling Political Activism around Gun Debate via Social Media", journal = j-TSC, volume = "5", number = "1--4", pages = "2:1--2:??", month = dec, year = "2022", DOI = "https://doi.org/10.1145/3532102", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Fri Aug 25 12:37:49 MDT 2023", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3532102", abstract = "The United States have some of the highest rates of gun violence among developed countries. Yet, there is a disagreement about the extent to which firearms \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "2", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Abraham:2022:ABC, author = "Jaclyn Abraham and Rebecca Roth and Heidi Zinzow and Kapil Chalil Madathil and Pamela Wisniewski", title = "Applying Behavioral Contagion Theory to Examining Young Adults' Participation in Viral Social Media Challenges", journal = j-TSC, volume = "5", number = "1--4", pages = "3:1--3:??", month = dec, year = "2022", DOI = "https://doi.org/10.1145/3538383", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Fri Aug 25 12:37:49 MDT 2023", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3538383", abstract = "Viral social media challenges have erupted across multiple social media platforms. While social media users participate in prosocial challenges designed to support \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "3", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Zheng:2022:UPW, author = "Keyang Zheng and Ben Stein and Rosta Farzan", title = "Use Ping Wisely: a Study of Team Communication and Performance under Lean Affordance", journal = j-TSC, volume = "5", number = "1--4", pages = "4:1--4:??", month = dec, year = "2022", DOI = "https://doi.org/10.1145/3557022", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Fri Aug 25 12:37:49 MDT 2023", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3557022", abstract = "Improving virtual team collaboration has been a centerpiece of many computer mediated communication research efforts. Team collaboration presents \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "4", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{DeSanto:2023:HEO, author = "Alessio {De Santo} and Arielle Moro and Bruno Kocher and Adrian Holzer", title = "Helping Each Other Quit Online: Understanding User Engagement and Real-life Outcomes of the {r/StopSmoking} Digital Smoking Cessation Community", journal = j-TSC, volume = "6", number = "1--2", pages = "1:1--1:??", month = jun, year = "2023", DOI = "https://doi.org/10.1145/3564745", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Fri Aug 25 12:37:49 MDT 2023", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3564745", abstract = "Despite decades of prevention, tobacco addiction is still a widespread health concern responsible for around 8 million deaths per year. Existing digital smoking \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "1", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Zhou:2023:STL, author = "Kaitlyn Zhou and Tom Wilson and Kate Starbird and Emma S. Spiro", title = "Spotlight Tweets: a Lens for Exploring Attention Dynamics within Online Sensemaking During Crisis Events", journal = j-TSC, volume = "6", number = "1--2", pages = "2:1--2:??", month = jun, year = "2023", DOI = "https://doi.org/10.1145/3577213", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Fri Aug 25 12:37:49 MDT 2023", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3577213", abstract = "In this article, we introduce the concept of a spotlight social media post -a post that receives an unexpected burst of attention-and explore how such posts reveal \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "2", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Kordyaka:2023:ERB, author = "Bastian Kordyaka and Solip Park and Jeanine Krath and Samuli Laato", title = "Exploring the Relationship Between Offline Cultural Environments and Toxic Behavior Tendencies in Multiplayer Online Games", journal = j-TSC, volume = "6", number = "1--2", pages = "3:1--3:??", month = jun, year = "2023", DOI = "https://doi.org/10.1145/3580346", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Fri Aug 25 12:37:49 MDT 2023", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3580346", abstract = "In multiplayer online games, players from different cultural backgrounds come together to cooperate and compete in real time. Although these games are \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "3", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Muralikumar:2023:HCE, author = "Meena Devii Muralikumar and Yun Shan Yang and David W. McDonald", title = "A Human-centered Evaluation of a Toxicity Detection {API}: Testing Transferability and Unpacking Latent Attributes", journal = j-TSC, volume = "6", number = "1--2", pages = "4:1--4:??", month = jun, year = "2023", DOI = "https://doi.org/10.1145/3582568", ISSN = "2469-7818 (print), 2469-7826 (electronic)", ISSN-L = "2469-7818", bibdate = "Fri Aug 25 12:37:49 MDT 2023", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3582568", abstract = "Perspective is a publicly available, machine learning API that can score text for toxicity. It is available for use in online platforms and communities to limit toxicity and \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "4", fjournal = "ACM Transactions on Social Computing (TSC)", journal-URL = "https://dl.acm.org/loi/tsc", } @Article{Seneviratne:2023:ABB, author = "Oshani Seneviratne and Kacy Adams and Deborah L. McGuinness", title = "Accountable Bench-to-Bedside Data-Sharing Mechanism for Researchers", journal = j-TSC, volume = "6", number = "3--4", pages = "5:1--5:??", month = dec, year = "2023", DOI = "https://doi.org/10.1145/3609486", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Tue Apr 30 10:53:28 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3609486", abstract = "We present a trustworthy mechanism for sharing, reusing, and repurposing data to address the challenge of the costly and time-consuming effort needed to bring an innovative idea from the bench (basic research) \ldots{}", acknowledgement = ack-nhfb, articleno = "5", fjournal = "ACM Transactions on Social Computing", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Ford:2023:CDM, author = "Trenton W. Ford and Rachel Krohn and Tim Weninger", title = "Competition Dynamics in the Meme Ecosystem", journal = j-TSC, volume = "6", number = "3--4", pages = "6:1--6:??", month = dec, year = "2023", DOI = "https://doi.org/10.1145/3596213", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Tue Apr 30 10:53:28 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3596213", abstract = "Creating and sharing memes is a common modality of online social interaction. Because of the prevalence of memes, an abundance of research focuses on understanding how memes are shared and \ldots{}", acknowledgement = ack-nhfb, articleno = "6", fjournal = "ACM Transactions on Social Computing", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Lee:2023:OSD, author = "Jooyoung Lee and Sarah Rajtmajer and Eesha Srivatsavaya and Shomir Wilson", title = "Online Self-Disclosure, Social Support, and User Engagement During the {COVID-19} Pandemic", journal = j-TSC, volume = "6", number = "3--4", pages = "7:1--7:??", month = dec, year = "2023", DOI = "https://doi.org/10.1145/3617654", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Tue Apr 30 10:53:28 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3617654", abstract = "We investigate relationships between online self-disclosure and received social support and user engagement during the COVID-19 crisis. We crawl a total of 2,399 posts and 29,851 associated \ldots{}", acknowledgement = ack-nhfb, articleno = "7", fjournal = "ACM Transactions on Social Computing", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", } @Article{Heltweg:2023:SAP, author = "Philip Heltweg and Dirk Riehle", title = "A Systematic Analysis of Problems in Open Collaborative Data Engineering", journal = j-TSC, volume = "6", number = "3--4", pages = "8:1--8:??", month = dec, year = "2023", DOI = "https://doi.org/10.1145/3629040", ISSN = "2469-7818 (print), 2469-7826 (electronic)", bibdate = "Tue Apr 30 10:53:28 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/tsc.bib", URL = "https://dl.acm.org/doi/10.1145/3629040", abstract = "Collaborative workflows are common in open-source software development. They reduce individual costs and improve the quality of work results. Open data shares many characteristics with open-source software, \ldots{}", acknowledgement = ack-nhfb, articleno = "8", fjournal = "ACM Transactions on Social Computing", journal-URL = "http://dl.acm.org/pub.cfm?id=J1546", }