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A Closer Look at the Self-Correcting Crowd: Examining Corrections in Online Rumors

Authors:

John J. Robinson,

Stephanie A. Stanek,

Elodie S. Fichet,

Kate StarbirdAuthors Info & Claims

CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 155 - 168

https://doi.org/10.1145/2998181.2998294

Published: 25 February 2017 Publication History

Abstract

This paper examines how users of social media correct online rumors during crisis events. Focusing on Twitter, we identify different patterns of information correcting behaviors and describe the actions, motivations, rationalizations and experiences of people who exhibited them. To do this, we analyze digital traces across two separate crisis events and interviews of fifteen individuals who generated some of those traces. Salient themes ensuing from this work help us describe: 1) different mechanisms of corrective action with respect to who gets corrected and how; 2) how responsibility is positioned for verifying and correcting information; and 3) how users' imagined audience influences their corrective strategy. We synthesize these three components into a preliminary model and explore the role of imagined audiences-both who those audiences are and how they react to and interact with shared information-in shaping users' decisions about whether and how to correct rumors.

References

[1]

Adam Acar, and Yuya Muraki. 2011. Twitter for crisis communication: lessons learned from Japan's tsunami disaster. International Journal of Web Based Communities 7, 3: 392--402.

Digital Library

[2]

Gordon W. Allport, and Leo Postman. 1946. An analysis of rumor. Public Opinion Quarterly 10, 4: 501--517.

[3]

Cynthia Andrews, Elodie Fichet, Yuwei Ding, Emma S. Spiro, and Kate Starbird. 2016. Keeping up with the tweet-dashians: The impact of 'official' accounts on online rumoring. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16), 452--465.

Digital Library

[4]

Ahmer Arif, Kelley Shanahan, Fang-Ju Chou, Yoanna Dosouto, Kate Starbird, and Emma S. Spiro. 2016. How Information Snowballs: Exploring the Role of Exposure in Online Rumor Propagation. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). ACM, NY, NY, USA, 466--477.

Digital Library

[5]

Michael S. Bernstein, Eytan Bakshy, Moira Burke, and Brian Karrer. 2013. Quantifying the invisible audience in social networks. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 21--30.

Digital Library

[6]

Parantapa Bhattacharya, and Niloy Ganguly. 2016. Characterizing deleted tweets and their authors. In Tenth International AAAI Conference on Web and Social Media.

[7]

Prashant Bordia, and Nicholas DiFonzo. 2004. Problem solving in social interactions on the Internet: Rumor as social cognition. Social Psychology Quarterly 67, 1: 33--49.

[8]

danah boyd. 2007. Why youth (heart) social network sites: The role of networked publics in teenage social life. MacArthur foundation series on digital learning? Youth, identity, and digital media volume, 119--142.

[9]

danah boyd, Scott Golder, and Gilad Lotan. 2010. Tweet, tweet, retweet: Conversational aspects of retweeting on twitter. In Proceedings of the 43rd Hawaii International Conference on System Sciences (HICSS '10), 1--10.

Digital Library

[10]

Christopher A. Cassa, Rumi Chunara, Kenneth Mandl, and John S. Brownstein. 2013. Twitter as a sentinel in emergency situations: lessons from the Boston marathon explosions. PLoS Currents 5, June.

[11]

Carlos Castillo, Marcelo Mendoza, and Barbara Poblete. 2011. Information credibility on twitter. In Proceedings of the 20th International Conference on World Wide Web, 675--684.

Digital Library

[12]

William J. Corvey, Sarah Vieweg, Travis Rood, and Martha Palmer. 2010. Twitter in Mass Emergency: What NLP techniques can contribute. In Proceedings of the NAACL HLT 2010 Workshop on Computational Linguistics in a World of Social Media.

Digital Library

[13]

Thomas E. Drabek. 1970. Methodology of studying disasters: Past patterns and future possibilities. American Behavioral Scientist 13, 331--343.

[14]

Motahhare Eslami, Karrie Karahalios, Christian Sandvigt, Kristen Vaccaro, Aimee Rickman, Kevin Hamilton, and Alex Kirlik. "First I "like" it, then I hide it: Folk Theories of Social Feeds." In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, pp. 2371--2382. ACM, 2016.

Digital Library

[15]

Sasha Frere-Jones. 2012. Good things about Twitter. Retrieved May 26, 2016 from http://www.newyorker.com/culture/sasha-frerejones/good-things-about-twitter

[16]

Huiji Gao, Geoffrey Barbier, Rebecca Goolsby, and Daniel Zeng. 2011. Harnessing the crowdsourcing power of social media for disaster relief. Arizona State Universtiy, Tempe, AZ.

[17]

Anthony Giddens. 1984. The constitution of society: Outline of the theory of structuration. University of California Press.

[18]

John Herrman. 2012. Twitter is a Truth Machine. Retrieved May 26, 2016 from http://gofwd.tumblr.com/post/34623466723/twitter-isa-truth-machine

[19]

Starr R. Hiltz, Jane Kushma, and Linda Plotnick. 2014. Use of social media by US public sector emergency managers: barriers and wish lists. In Proceedings of the 11th International ISCRAM Conference, 602--611.

[20]

Y. Linlin Huang, Kate Starbird, Mania Orand, Stephanie A. Stanek, and Heather T. Pedersen. 2015. Connected through crisis: emotional proximity and the spread of misinformation online. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW '15), 969--980.

Digital Library

[21]

Amanda L. Hughes, and Leysia Palen. 2012. The evolving role of the public information officer: An examination of social media in emergency management. Journal of Homeland Security and Emergency Management 9, 1.

[22]

Willett Kempton. 1986. Two theories of home heat control. Cognitive Science, 10(1), 75--90.

[23]

Pierre Lévy. 1997. Collective Intelligence: Mankind's Emerging World in Cyberspace. Plenum / HarperCollins.

Digital Library

[24]

Eden Litt. 2012. Knock, knock. Who's there? The imagined audience. Journal of Broadcasting & Electronic Media 56.3 (2012): 330--345.

[25]

Jim Maddock, Kate Starbird, and Robert M. Mason. 2015. Using historical twitter data for research: Ethical challenges of tweet deletions. Workshop on Ethics at the 2015 Conference on Computer Supported Cooperative Work, March, 14.

[26]

Alexis C. Madrigal. 2013. #BostsonBombing: The Anatomy of a Misinformation Disaster. Retrieved May 27, 2016 from http://www.theatlantic.com/technology/ archive/2013/04/-bostonbombing-the-anatomy-ofamisinformation-disaster/275155/

[27]

Alice E. Marwick & danah boyd. 2011. I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience. New media & society 13, no. 1 (2011): 114--133.

[28]

Marcelo Mendoza, Barbara Poblete, and Carlos Castillo. 2010. Twitter Under Crisis: Can we trust what we RT?. In Proceedings of the first workshop on social media analytics, 71--79.

Digital Library

[29]

Onook Oh, Manish Agrawal, and H. Raghav Rao. 2013. Community intelligence and social media services: A rumor theoretic analysis of tweets during social crises. MIS Quarterly 37, 2: 407--426.

Digital Library

[30]

Leysia Palen, Kenneth M. Anderson, Gloria Mark, James Martin, Douglas Sicker, Martha Palmer, and Dirk Grunwald. 2010. A vision for technology mediated support for public participation & assistance in mass emergencies & disasters. In Proceedings of the 2010 ACM BCS Visions of Computer Science Conference, 1--12.

Digital Library

[31]

Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, and Qiaozhu Mei. 2011. Rumor has it: Identifying misinformation in microblogs. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, 1589--1599.

Digital Library

[32]

Enrico Louis Quarantelli. 1991. Radiation disasters: Similarities to and differences from other disasters. In The Medical Basis for Radiation-Accident Preparedness III: The Psychological Perspective, R. Ricks, M. Berger and F. O'hara Jr. (eds,). Elsevier Science Pub., NY, USA, 15--24.

[33]

Jacob Ratkiewicz, Michael Conover, Mark Meiss, Bruno Gonçalves, Snehal Patil, Alessandro Flammini, and Filippo Menczer. 2011. Truthy: mapping the spread of astroturf in microblog streams. In Proceedings of the 20th international conference companion on World Wide Web, 249--252.

Digital Library

[34]

Ralph L. Rosnow, James L. Esposito, and Leo Gibney. 1988. Factors influencing rumor spreading: Replication and extension. Language & Communication 8, 1: 2942.

[35]

Ralph L. Rosnow. 1991. Inside rumor: A personal journey. American Psychologist 46, 5: 484--496.

[36]

Tamotsu Shibutani. 1969. Improvised news: A sociological study of rumor. American Sociological Review 34, 5: 781--782.

[37]

Emma S. Spiro, Sean Fitzhugh, Jeannette Sutton, Nicole Pierski, Matt Greczek, and Carter T. Butts. 2012. Rumoring during extreme events: A case study of Deepwater Horizon 2010. In Proceedings of the 4th Annual ACM Web Science Conference, 275--283.

Digital Library

[38]

Kate Starbird, Jim Maddock, Mania Orand, Peg Achterman, and Robert M. Mason. 2014. Rumors, false flags, and digital vigilantes: misinformation on Twitter after the 2013 Boston Marathon bombing. In Proceedings of the iConference 2014, 654--662.

[39]

Kate Starbird, and Leysia Palen. 2011. "Voluntweeters": self-organizing by digital volunteers in times of crisis. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11), 1071--1080.

Digital Library

[40]

Kate Starbird, and Leysia Palen. 2010. Pass it on? Retweeting in mass emergency. In International Community on Information Systems for Crisis Response and Management (ISCRAM 2010).

[41]

James Surowiecki. 2005. The Wisdom of Crowds. Anchor.

Digital Library

[42]

Yuko Tanaka, Yasuaki Sakamoto, and Toshihiko Matsuka. 2012. Transmission of rumor and criticism in Twitter after the Great Japan Earthquake. In Annual Meeting of the Cognitive Science Society, 2387.

[43]

Anita Williams Woolley, Christopher F. Chabris, Alex Pentland, Nada Hashmi, and Thomas W. Malone. 2010. Evidence for a collective intelligence factor in the performance of human groups. Science 330, 6004: 686--688.

[44]

Zhe Zhao, Paul Resnick, and Qiaozhu Mei. 2015. Enquiring minds: Early detection of rumors in social media from enquiry posts. In Proceedings of the 24th International Conference on World Wide Web, 1395--1405.

Digital Library

Cited By

Tian X(2024)How life circumstances during public health crises affect people to share and correct misinformation: a perspective of the third-person effectFrontiers in Psychology10.3389/fpsyg.2024.141850415Online publication date: 16-Oct-2024
https://doi.org/10.3389/fpsyg.2024.1418504
Moore RDahlke RForberg PHancock J(2024)The Private Life of QAnon: A Mixed Methods Investigation of Americans' Exposure to QAnon Content on the WebProceedings of the ACM on Human-Computer Interaction10.1145/36870578:CSCW2(1-34)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687057
Bhimdiwala AAdavi KArif A(2024)Fighting for Their Voice: Understanding Indian Muslim Women's Responses to Networked HarassmentProceedings of the ACM on Human-Computer Interaction10.1145/36410058:CSCW1(1-24)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641005
Show More Cited By

Index Terms

A Closer Look at the Self-Correcting Crowd: Examining Corrections in Online Rumors
1. Human-centered computing
  1. Collaborative and social computing
2. Social and professional topics

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cover image ACM Conferences

CSCW '17: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

February 2017

2556 pages

ISBN:9781450343350

DOI:10.1145/2998181

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University of Washington
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Stockholm University and Cornell Tech
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Universidade Federal do Rio de Janeiro
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IBM T.J. Watson Research Center

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Published: 25 February 2017

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CSCW '17: Computer Supported Cooperative Work and Social Computing

February 25 - March 1, 2017

Oregon, Portland, USA

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CSCW '17 Paper Acceptance Rate 183 of 530 submissions, 35%;

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

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Cited By

Tian X(2024)How life circumstances during public health crises affect people to share and correct misinformation: a perspective of the third-person effectFrontiers in Psychology10.3389/fpsyg.2024.141850415Online publication date: 16-Oct-2024
https://doi.org/10.3389/fpsyg.2024.1418504
Moore RDahlke RForberg PHancock J(2024)The Private Life of QAnon: A Mixed Methods Investigation of Americans' Exposure to QAnon Content on the WebProceedings of the ACM on Human-Computer Interaction10.1145/36870578:CSCW2(1-34)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3687057
Bhimdiwala AAdavi KArif A(2024)Fighting for Their Voice: Understanding Indian Muslim Women's Responses to Networked HarassmentProceedings of the ACM on Human-Computer Interaction10.1145/36410058:CSCW1(1-24)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641005
Mukhopadhyay AVenkatagiri SLuther K(2024)OSINT Research Studios: A Flexible Crowdsourcing Framework to Scale Up Open Source Intelligence InvestigationsProceedings of the ACM on Human-Computer Interaction10.1145/36373828:CSCW1(1-38)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637382
Lovato JSt-Onge JHarp RSalazar Lopez GRogers SHaq IHébert-Dufresne LOnaolapo J(2024)Diverse misinformation: impacts of human biases on detection of deepfakes on networksnpj Complexity10.1038/s44260-024-00006-y1:1Online publication date: 18-May-2024
https://doi.org/10.1038/s44260-024-00006-y
Wu Y(2023)Predicting Fact-Checking Health Information Before Sharing Among People with Different Levels of Altruism: Based on the Influence of Presumed Media InfluencePsychology Research and Behavior Management10.2147/PRBM.S404911Volume 16(1495-1508)Online publication date: Apr-2023
https://doi.org/10.2147/PRBM.S404911
Zade HWilliams STran TSmith CVenkatagiri SHsieh GStarbird K(2023)To Reply or to Quote: Comparing Conversational Framing Strategies on TwitterACM Journal on Computing and Sustainable Societies10.1145/3625680Online publication date: 9-Oct-2023
https://dl.acm.org/doi/10.1145/3625680
Wang LRzeszotarski J(2023)Understanding Motivational Factors in Social Media News Sharing DecisionsProceedings of the ACM on Human-Computer Interaction10.1145/35795387:CSCW1(1-30)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579538
Zade HWoodruff MJohnson EStanley MZhou ZHuynh MAcheson AHsieh GStarbird K(2023)Tweet Trajectory and AMPS-based Contextual Cues can Help Users Identify MisinformationProceedings of the ACM on Human-Computer Interaction10.1145/35795367:CSCW1(1-27)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579536
Aghajari ZBaumer EDiFranzo D(2023)Reviewing Interventions to Address Misinformation: The Need to Expand Our Vision Beyond an Individualistic FocusProceedings of the ACM on Human-Computer Interaction10.1145/35795207:CSCW1(1-34)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579520
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