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Computational social science: CSCW in the social media era

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Hanna WallachAuthors Info & Claims

CSCW Companion '14: Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing

Pages 105 - 108

https://doi.org/10.1145/2556420.2556849

Published: 15 February 2014 Publication History

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Abstract

With the widespread proliferation of social media tools such as Facebook and Twitter, the CSCW community has seen a growing interest among researchers to turn to records of social behavior from blogs, social media, and social networking sites, to study human social behavior. This nascent area, that has begun to be referred to in various research circles as "computational social science", provides an exciting and promising development in the CSCW community. This panel brings together a host of researchers with varied disciplinary perspectives to investigate the potential and current state-of-the-art, as well as forthcoming challenges, practical and methodological issues that engender this emerging topic.

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Cited By

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Karinshak ELiu SPark JHancock J(2023)Working With AI to Persuade: Examining a Large Language Model's Ability to Generate Pro-Vaccination MessagesProceedings of the ACM on Human-Computer Interaction10.1145/35795927:CSCW1(1-29)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579592
Wang XSong YSu Y(2022)Less Fragmented but Highly Centralized: A Bibliometric Analysis of Research in Computational Social ScienceSocial Science Computer Review10.1177/0894439321105811241:3(946-966)Online publication date: 2-Feb-2022
https://doi.org/10.1177/08944393211058112
Mondal SRehena Z(2022)Challenges and Limitations of Social Data Analysis ApproachesInternet of Things Based Smart Healthcare10.1007/978-981-19-1408-9_14(307-323)Online publication date: 19-Jul-2022
https://doi.org/10.1007/978-981-19-1408-9_14
Show More Cited By

Index Terms

Computational social science: CSCW in the social media era
1. Applied computing
  1. Law, social and behavioral sciences

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Published In

CSCW Companion '14: Proceedings of the companion publication of the 17th ACM conference on Computer supported cooperative work & social computing

February 2014

372 pages

ISBN:9781450325417

DOI:10.1145/2556420

General Chairs:
Susan Fussell
Cornell University
,
Wayne Lutters
University of Maryland, Baltimore County
,
Program Chairs:
Meredith Ringel Morris
Microsoft Research
,
Madhu Reddy
Penn State University

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 February 2014

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Panel

Conference

CSCW'14

Sponsor:

SIGCHI

CSCW'14: Computer Supported Cooperative Work

February 15 - 19, 2014

Maryland, Baltimore, USA

Acceptance Rates

CSCW Companion '14 Paper Acceptance Rate 88 of 497 submissions, 18%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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Cited By

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Karinshak ELiu SPark JHancock J(2023)Working With AI to Persuade: Examining a Large Language Model's Ability to Generate Pro-Vaccination MessagesProceedings of the ACM on Human-Computer Interaction10.1145/35795927:CSCW1(1-29)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579592
Wang XSong YSu Y(2022)Less Fragmented but Highly Centralized: A Bibliometric Analysis of Research in Computational Social ScienceSocial Science Computer Review10.1177/0894439321105811241:3(946-966)Online publication date: 2-Feb-2022
https://doi.org/10.1177/08944393211058112
Mondal SRehena Z(2022)Challenges and Limitations of Social Data Analysis ApproachesInternet of Things Based Smart Healthcare10.1007/978-981-19-1408-9_14(307-323)Online publication date: 19-Jul-2022
https://doi.org/10.1007/978-981-19-1408-9_14
Olteanu AKıcıman ECastillo CChang YZhai CLiu YMaarek Y(2018)A Critical Review of Online Social DataProceedings of the Eleventh ACM International Conference on Web Search and Data Mining10.1145/3159652.3162004(785-786)Online publication date: 2-Feb-2018
https://dl.acm.org/doi/10.1145/3159652.3162004
Liotsiou DMoreau LHalford S(2016)Social Influence: From Contagion to a Richer Causal UnderstandingSocial Informatics10.1007/978-3-319-47874-6_9(116-132)Online publication date: 19-Oct-2016
https://doi.org/10.1007/978-3-319-47874-6_9
Branco FGonçalves RMartins JBessa JBaptista A(2016)Computer Supported Cooperative Work—Exploratory Study on CSCW and Groupware Technologies and its Applicability in the Health AreaNew Advances in Information Systems and Technologies10.1007/978-3-319-31307-8_40(379-389)Online publication date: 3-Mar-2016
https://doi.org/10.1007/978-3-319-31307-8_40
Broussard M(2015)Big Data in PracticeDigital Journalism10.1080/21670811.2015.10748634:2(266-279)Online publication date: 4-Sep-2015
https://doi.org/10.1080/21670811.2015.1074863
Smari WNavarro AMcQuay W(2015)Contemporary Computer Supported CollaborationConcurrency and Computation: Practice & Experience10.1002/cpe.346727:11(2681-2685)Online publication date: 10-Aug-2015
https://dl.acm.org/doi/10.1002/cpe.3467
Olteanu ACastillo CDiaz FKiciman E(undefined)Social Data: Biases, Methodological Pitfalls, and Ethical BoundariesSSRN Electronic Journal10.2139/ssrn.2886526
https://doi.org/10.2139/ssrn.2886526

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