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Could This Be True?: I Think So! Expressed Uncertainty in Online Rumoring

Authors:

Isabelle Edwards,

Sindhuja NarasimhanAuthors Info & Claims

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Pages 360 - 371

https://doi.org/10.1145/2858036.2858551

Published: 07 May 2016 Publication History

Abstract

Rumors are regular features of crisis events due to the extreme uncertainty and lack of information that often characterizes these settings. Despite recent research that explores rumoring during crisis events on social media platforms, limited work has focused explicitly on how individuals and groups express uncertainty. Here we develop and apply a flexible typology for types of expressed uncertainty. By applying our framework across six rumors from two crisis events we demonstrate the role of uncertainty in the collective sensemaking process that occurs during crisis events.

References

[1]

Gordon W. Allport and Leo Postman. 1947. The Psychology of Rumor. Henry Holt and Company.

[2]

Cynthia Andrews, Elodie Fichet, Stella 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 ACM 2016 Computer Supported Cooperative Work (CSCW 2016).

Digital Library

[3]

Susan Anthony. 1973. Anxiety and rumor. The Journal of Social Psychology, 89, 1: 91--98

[4]

Ahmer Arif, Kelley Shanahan, Fang-Ju Chou, Yoanna Dosouto, Kate Starbird, Emma S. Spiro. 2016. How Information Snowballs: Exploring the Role of Exposure in Online Rumor Propagation. In Proceedings of the ACM 2016 Computer Supported Cooperative Work (CSCW 2016).

Digital Library

[5]

Austin S. Babrow, Chris R. Kasch, and Leigh A. Ford. 1998. The many meanings of uncertainty in illness: Toward a systematic accounting. Health Communication, 10(1), 1--23.

[6]

Austin S. Babrow, Stephen C. Hines, and Chris R. Kasch. 2000. Managing uncertainty in illness explanation: An application of problematic integration theory. Explaining illness: Research, theory, and strategies, 41--67.

[7]

Prashant Bordia, and Nicholas DiFonzo. 2004. Problem solving in social interactions on the Internet: Rumor as social cognition. Social Psychology Quarterly 67, no. 1 (2004): 33--49.

[8]

Dale E. Brashers. 2001. Communication and uncertainty management. Journal of Communication, 51(3), 477--497.

[9]

Carlos Castillo, Marcelo Mendoza, and Barbara Poblete. 2013. Predicting information credibility in time-sensitive social media. Internet Research 23, no. 5: 560--588.

[10]

Nicholas DiFonzo and Prashant Bordia. 2007. Rumor psychology: Social and organizational approaches. American Psychological Association.

[11]

Edward R. Geiselman, Ronald P. Fisher, Gina Cohen, and Heidi Holland. 1986. Eyewitness responses to leading and misleading questions under the cognitive interview. Journal of Police Science & Administration.

[12]

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).

[13]

Starr Roxanne Hiltz, Jane Kushma, and Linda Plotnick. 2014. Use of social media by US public sector emergency managers: Barriers and wish lists. In Proceedings of ISCRAM (2014).

[14]

Amanda L. Hughes, Lise A. St Denis, Leysia Palen, and Kenneth M. Anderson. 2014. Online public communications by police & fire services during the 2012 Hurricane Sandy. In Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, pp. 1505--1514.

Digital Library

[15]

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).

[16]

Elizabeth F. Loftus, (1975). Leading questions and the eyewitness report. Cognitive psychology, 7(4), 560--572.

[17]

Jim Maddock, Kate Starbird, Haneen J. Al-Hassani, Daniel E. Sandoval, Mania Orand, and Robert M. Mason. Characterizing online rumoring behavior using multi-dimensional signatures. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (ACM 2015) 228--241.

Digital Library

[18]

Jim Maddock, Kate Starbird and Robert M. Mason. (2015). Using Historical Twitter Data for Research: Ethical Challenges of Tweet Deletions. Presented at CSCW '15 Workshop on Ethics at the 2015 Conference on Computer Supported Cooperative Work (CSCW 2015), Vancouver, Canada.

[19]

Mendoza, Marcelo, 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, pp. 71--79. ACM.

Digital Library

[20]

Onook Oh, Kyounghee Hazel Kwon, and H. Raghav Rao. 2010. An Exploration of Social Media in Extreme Events: Rumor Theory and Twitter during the Haiti Earthquake 2010. In ICIS, p. 231.

[21]

Onook Oh, Manish Agrawal and H. Raghav Rao. Community Intelligence and Social Media Services: A Rumor Theoretical Analysis of Tweets during Social Crises. Mis. Quarterly 37(2), 407--426.

Digital Library

[22]

Susan Coppess Pendleton. 1998. Rumor research revisited and expanded. Language & Communication, 18,1: 69--86.

[23]

Ellen F. Prince, Joel Frader, and Charles Bosk. 1982. On hedging in physician-physician discourse. Linguistics and the Professions, 8: 83--97.

[24]

Ralph L. Rosnow. 1980. Psychology of rumor reconsidered. Psychological Bulletin. 87, 3: 578--591.

[25]

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

[26]

Tamotsu Shibutani. 1966. Improvised News: A Sociological Study of Rumor. NY: Bobbs-Merrill.

[27]

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 (ACM 2012), 275--283.

Digital Library

[28]

Kate Starbird, Dharma Dailey, Ann Hayward Walker, Thomas M. Leschine, Robert Pavia, and Ann Bostrom. 2015. Social Media, Public Participation, and the 2010 BP Deepwater Horizon Oil Spill. Human and Ecological Risk Assessment: An International Journal, 21, 3: 605--630.

[29]

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 Bombings. Short paper. iConference 2014, Berlin, Germany.

[30]

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

[31]

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 (ACM 2011), 10711080.

Digital Library

[32]

William B. Swann, Toni Giuliano, and Daniel M. Wegner. 1982. Where leading questions can lead: The power of conjecture in social interaction. Journal of Personality and Social Psychology 42(6): 1025.

[33]

Jeannette Sutton. 2010. "Twittering TN: Distributed Networks and Collaboration following a Technological Disaster. In Proceedings of the International Conference on Information Systems for Crisis Response and Management (ISCRAM 2010).

[34]

Jeannette Sutton, Leysia Palen, and Irina Shklovski. 2008. Backchannels on the Front Lines: Emergent Uses of Social Media in the 2007 Southern California Wildfires. In Proceedings of the 5th International ISCRAM Conference, 1--9.

[35]

Jeannette C. Sutton, Ben Gibson, Emma S. Spiro, Cedar League, Sean M. Fitzhugh, and Carter T. Butts. 2015. What it takes to get passed on: message content, style, and structure as predictors of retransmission in the Boston Marathon bombing response. PLoS one 10(8): e0134452.

[36]

Ralph H. Turner, and Lewis M. Killian. 1957. Collective Behavior. Prentice-Hall, Englewood Cliffs, NJ.

[37]

Charles J. Walker & Carol A. Beckerle. 1987. The effect of anxiety on rumor transmission. Journal of Social Behavior and Personality, 2, 353--360.

[38]

Karl E. Weick, and Kathleen M. Sutcliffe. 2011. Managing the unexpected: Resilient performance in an age of uncertainty. John Wiley & Sons.

Digital Library

[39]

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, pp. 1395--1405. International World Wide Web Conferences Steering Committee.

Digital Library

Cited By

Lutz NPadzensky JSchafer JFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Working with Color: How Color Quantization Can Aid Researchers of Problematic InformationCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681863(275-282)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3681863
McInnis BPindus RKareem DGamboa SNebeker C(2024)Exploring the Future of Informed Consent: Applying a Service Design ApproachProceedings of the ACM on Human-Computer Interaction10.1145/36373308:CSCW1(1-31)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637330
Stovall WBall JWestby EPoland MWilkins AMulliken K(2023)Officially social: Developing a social media crisis communication strategy for USGS Volcanoes during the 2018 Kīlauea eruptionFrontiers in Communication10.3389/fcomm.2023.9760418Online publication date: 23-Mar-2023
https://doi.org/10.3389/fcomm.2023.976041
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Index Terms

Could This Be True?: I Think So! Expressed Uncertainty in Online Rumoring
1. Human-centered computing
  1. Collaborative and social computing
2. Social and professional topics

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cover image ACM Conferences

CHI '16: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

May 2016

6108 pages

ISBN:9781450333627

DOI:10.1145/2858036

General Chairs:
Jofish Kaye
Yahoo
,
Allison Druin
University of Maryland / National Park Service
,
Program Chairs:
Cliff Lampe
University of Michigan
,
Dan Morris
Microsoft
,
Juan Pablo Hourcade
University of Iowa

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 07 May 2016

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CHI'16: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2016

California, San Jose, USA

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CHI '16 Paper Acceptance Rate 565 of 2,435 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Lutz NPadzensky JSchafer JFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Working with Color: How Color Quantization Can Aid Researchers of Problematic InformationCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681863(275-282)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3681863
McInnis BPindus RKareem DGamboa SNebeker C(2024)Exploring the Future of Informed Consent: Applying a Service Design ApproachProceedings of the ACM on Human-Computer Interaction10.1145/36373308:CSCW1(1-31)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637330
Stovall WBall JWestby EPoland MWilkins AMulliken K(2023)Officially social: Developing a social media crisis communication strategy for USGS Volcanoes during the 2018 Kīlauea eruptionFrontiers in Communication10.3389/fcomm.2023.9760418Online publication date: 23-Mar-2023
https://doi.org/10.3389/fcomm.2023.976041
Prochaska SDuskin KKharazian ZMinow CBlucker SVenuto SWest JStarbird K(2023)Mobilizing Manufactured Reality: How Participatory Disinformation Shaped Deep Stories to Catalyze Action during the 2020 U.S. Presidential ElectionProceedings of the ACM on Human-Computer Interaction10.1145/35796167:CSCW1(1-39)Online publication date: 16-Apr-2023
https://dl.acm.org/doi/10.1145/3579616
Zhou KWilson TStarbird KSpiro E(2023)Spotlight Tweets: A Lens for Exploring Attention Dynamics within Online Sensemaking During Crisis EventsACM Transactions on Social Computing10.1145/35772136:1-2(1-33)Online publication date: 26-Jun-2023
https://dl.acm.org/doi/10.1145/3577213
den Heyer Gden Heyer G(2023)ParisPolice Respond to Terrorism10.1007/978-3-031-43250-7_5(97-131)Online publication date: 26-Sep-2023
https://doi.org/10.1007/978-3-031-43250-7_5
LaLone NHughes ATapia A(2022)More Than MillingResearch Anthology on Managing Crisis and Risk Communications10.4018/978-1-6684-7145-6.ch003(31-53)Online publication date: 1-Jul-2022
https://doi.org/10.4018/978-1-6684-7145-6.ch003
Lyons BWorkman K(2022)Research note: Explicit voter fraud conspiracy cues increase belief among co-partisans but have broader spillover effects on confidence in electionsHarvard Kennedy School Misinformation Review10.37016/mr-2020-99Online publication date: 7-Jun-2022
https://doi.org/10.37016/mr-2020-99
Fallou LCorradini MBossu RCheny J(2022)Preventing and debunking earthquake misinformation: Insights into EMSC's practicesFrontiers in Communication10.3389/fcomm.2022.9935107Online publication date: 22-Dec-2022
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Heft ABuehling K(2022)Measuring the diffusion of conspiracy theories in digital information ecologiesConvergence: The International Journal of Research into New Media Technologies10.1177/1354856522109180928:4(940-961)Online publication date: 24-Apr-2022
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