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Encounters with Visual Misinformation and Labels Across Platforms: An Interview and Diary Study to Inform Ecosystem Approaches to Misinformation Interventions

Published: 08 May 2021 Publication History

Abstract

Social media platforms face rampant misinformation spread through multimedia posts shared in highly-personalized contexts [10, 11]. Foundational qualitative research is necessary to ensure platforms’ misinformation interventions are aligned with users’ needs and understanding of information in their own contexts, across platforms. In two studies, we combined in-depth interviews (n=15) with diary and co-design methods (n=23) to investigate how a mix of Americans exposed to misinformation during COVID-19 understand their information environments, including encounters with interventions such as Facebook fact-checking labels. Analysis reveals a deep division in user attitudes about platform labeling interventions, perceived by 7/15 interview participants as biased and punitive. As a result, we argue for the need to better research the unintended consequences of labeling interventions on factual beliefs and attitudes. Alongside these findings, we discuss our methods as a model for continued independent qualitative research on cross-platform user experiences of misinformation in order to inform interventions.

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Joshua Benton. 2020. Is this video “missing context,” “transformed,” or “edited”? This effort wants to standardize how we categorize visual misinformation. https://www.niemanlab.org/2020/01/is-this-video-missing-context-transformed-or-edited-this-effort-wants-to-standardize-how-we-categorize-visual-misinformation/
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  • (2024)EXPRESS: Fighting Misinformation on Social Media: an Empirical Investigation of the Impact of Prominence Reduction PoliciesProduction and Operations Management10.1177/10591478241283839Online publication date: 9-Sep-2024
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cover image ACM Conferences
CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
May 2021
2965 pages
ISBN:9781450380959
DOI:10.1145/3411763
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: 08 May 2021

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  1. manipulated media
  2. misinformation
  3. news media
  4. platform design
  5. social media
  6. visual misinformation

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Cited By

View all
  • (2024)EXPRESS: Fighting Misinformation on Social Media: an Empirical Investigation of the Impact of Prominence Reduction PoliciesProduction and Operations Management10.1177/10591478241283839Online publication date: 9-Sep-2024
  • (2024)Conversational Agents to Facilitate Deliberation on Harmful Content in WhatsApp GroupsProceedings of the ACM on Human-Computer Interaction10.1145/36870308:CSCW2(1-32)Online publication date: 8-Nov-2024
  • (2024)Effect of Explanation Conceptualisations on Trust in AI-assisted Credibility AssessmentProceedings of the ACM on Human-Computer Interaction10.1145/36869228:CSCW2(1-31)Online publication date: 8-Nov-2024
  • (2024)Designing and Evaluating a Discourse Analysis DashboardProceedings of the Second International Symposium on Trustworthy Autonomous Systems10.1145/3686038.3686048(1-5)Online publication date: 16-Sep-2024
  • (2024)The Landscape of User-centered Misinformation Interventions - A Systematic Literature ReviewACM Computing Surveys10.1145/367472456:11(1-36)Online publication date: 22-Jul-2024
  • (2024)Designing Better Credibility Indicators: Understanding How Emerging Adults Assess Source Credibility of Misinformation Identification and LabelingCompanion Publication of the 2024 ACM Designing Interactive Systems Conference10.1145/3656156.3665126(41-44)Online publication date: 1-Jul-2024
  • (2024)“Who Knows? Maybe it Really Works”: Analysing Users' Perceptions of Health Misinformation on Social MediaProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661510(1499-1517)Online publication date: 1-Jul-2024
  • (2024)"We're Not in That Circle of Misinformation": Understanding Community-Based Trusted Messengers Through Cultural Code-SwitchingProceedings of the ACM on Human-Computer Interaction10.1145/36374298:CSCW1(1-36)Online publication date: 26-Apr-2024
  • (2024)User Attitudes to Content Moderation in Web SearchProceedings of the ACM on Human-Computer Interaction10.1145/36374238:CSCW1(1-27)Online publication date: 26-Apr-2024
  • (2024)"The Headline Was So Wild That I Had To Check": An Exploration of Women's Encounters With Health Misinformation on Social MediaProceedings of the ACM on Human-Computer Interaction10.1145/36374058:CSCW1(1-26)Online publication date: 26-Apr-2024
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