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Designing to Support Reflection on Values & Practices to Address Online Disinformation

Published: 30 October 2018 Publication History

Abstract

This research examines crowd and algorithm driven information flows in our current social media ecosystem to understand and address some of the instabilities fueling online misinformation and disinformation. The work combines empirical analysis of social media data, alternative news websites, interviews, and a design intervention to provide insights that are useful for challenging the muddled thinking, passive acquiescence and rote behaviors that give oxygen to online disinformation. Four interrelated studies are synthesized to further our understanding about online disinformation and how we might cultivate new media practices that can aid us in coping under rapidly evolving and challenging conditions.

References

[1]
Ahmer Arif, Leo Graiden Stewart, and Kate Starbird. 2018. Acting the Part: Examining Information Operations Within #BlackLivesMatter Discourse. To appear in Proceedings of the 2018 Conference on Computer Supported Cooperative Work and Social Computing (CSCW '18). ACM, New York, NY.
[2]
Ahmer Arif, John J. Robinson, Stephanie A. Stanek, Elodie S. Fichet, Paul Townsend, Zena Worku, and Kate Starbird. 2017. A closer look at the self-correcting crowd: Examining corrections in online rumors. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW '17). ACM, New York, NY, 155--168.
[3]
danah boyd. 2018. You Think You Want Media Literacy? Do You?. Retrieved April 10th, 2018 from https://points.datasociety.net/you-think-you-want-media-literacy-do-you-7cad6af18ec2
[4]
Jonathan Haidt. 2012. The righteous mind: Why good people are divided by politics and religion. Vintage.
[5]
Robert Kegan. 1994. In over our heads: The mental demands of modern life. Harvard University Press.
[6]
David M. Levy. 2016. Mindful tech: How to bring balance to our digital lives. Yale University Press.
[7]
Peter Pomerantsev and Michael Weiss. 2014. The menace of unreality: How the Kremlin weaponizes information, culture and money. New York: Institute of Modern Russia
[8]
Gordon Pennycook and David G. Rand. 2017. Who falls for fake news? The roles of analytic thinking, motivated reasoning, political ideology, and bullshit receptivity. Yale University.
[9]
Kate Starbird, Ahmer Arif, Tom Wilson, Katherine Van Koevering, Katya Yefimova & Daniel Scarnecchia. 2018. Ecosystem or Echo-System? Exploring Content Sharing across Alternative Media Domains. Forthcoming in Proceedings of the 12th Internationsl AAAI Conference on Web and Social Media (ICWSM-18)
[10]
Shannon Vallor. 2016. Technology and the virtues: A philosophical guide to a future worth wanting. Oxford University Press.

Cited By

View all
  • (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
  • (2023)Participatory Design and Power in Misinformation, Disinformation, and Online Hate ResearchProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596119(1724-1739)Online publication date: 10-Jul-2023
  • (2023)CoSINT: Designing a Collaborative Capture the Flag Competition to Investigate MisinformationProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3595997(2551-2572)Online publication date: 10-Jul-2023
  • Show More Cited By

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Information

Published In

cover image ACM Conferences
CSCW '18 Companion: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing
October 2018
518 pages
ISBN:9781450360180
DOI:10.1145/3272973
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.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 October 2018

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Author Tags

  1. disinformation
  2. learning
  3. misinformation
  4. social media

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CSCW '18
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CSCW '18 Companion Paper Acceptance Rate 105 of 385 submissions, 27%;
Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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CSCW '25

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Cited By

View all
  • (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
  • (2023)Participatory Design and Power in Misinformation, Disinformation, and Online Hate ResearchProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3596119(1724-1739)Online publication date: 10-Jul-2023
  • (2023)CoSINT: Designing a Collaborative Capture the Flag Competition to Investigate MisinformationProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3595997(2551-2572)Online publication date: 10-Jul-2023
  • (2022)Reactions to Fact CheckingProceedings of the ACM on Human-Computer Interaction10.1145/35551286:CSCW2(1-17)Online publication date: 11-Nov-2022
  • (2022)Disinformation as Infrastructure: Making and Maintaining the QAnon Conspiracy on Italian Digital MediaProceedings of the ACM on Human-Computer Interaction10.1145/35129316:CSCW1(1-31)Online publication date: 7-Apr-2022

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