research-article

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Tweet Trajectory and AMPS-based Contextual Cues can Help Users Identify Misinformation

Authors:

Megan Woodruff,

Mariah Stanley,

Alissa Elizabeth Acheson,

Kate StarbirdAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 7, Issue CSCW1

Article No.: 103, Pages 1 - 27

https://doi.org/10.1145/3579536

Published: 16 April 2023 Publication History

Abstract

Well-intentioned users sometimes enable the spread of misinformation due to limited context about where the information originated and/or why it is spreading. Building upon recommendations based on prior research about tackling misinformation, we explore the potential to support media literacy through platform design. We develop and design an intervention consisting of a tweet trajectory-to illustrate how information reached a user-and contextual cues-to make credibility judgments about accounts that amplify, manufacture, produce, or situate in the vicinity of problematic content (AMPS). Using a research through design approach, we demonstrate how the proposed intervention can help discern credible actors, challenge blind faith amongst online friends, evaluate the cost of associating with online actors, and expose hidden agendas. Such facilitation of credibility assessment can encourage more responsible sharing of content. Through our findings, we argue for using trajectory-based designs to support informed information sharing, advocate for feature updates that nudge users with reflective cues, and promote platform-driven media literacy.

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Cited By

Hartwig KDoell FReuter C(2024)The Landscape of User-centered Misinformation Interventions - A Systematic Literature ReviewACM Computing Surveys10.1145/367472456:11(1-36)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1145/3674724
Shusas E(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
https://dl.acm.org/doi/10.1145/3656156.3665126
Shusas EForte A(2024)Trust and Transparency: An Exploratory Study on Emerging Adults' Interpretations of Credibility Indicators on Social Media PlatformsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650801(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650801
Show More Cited By

Index Terms

Tweet Trajectory and AMPS-based Contextual Cues can Help Users Identify Misinformation
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools
  2. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 7, Issue CSCW1

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April 2023

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EISSN:2573-0142

DOI:10.1145/3593053

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Cited By

Hartwig KDoell FReuter C(2024)The Landscape of User-centered Misinformation Interventions - A Systematic Literature ReviewACM Computing Surveys10.1145/367472456:11(1-36)Online publication date: 25-Jun-2024
https://dl.acm.org/doi/10.1145/3674724
Shusas E(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
https://dl.acm.org/doi/10.1145/3656156.3665126
Shusas EForte A(2024)Trust and Transparency: An Exploratory Study on Emerging Adults' Interpretations of Credibility Indicators on Social Media PlatformsExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650801(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650801
Venkatagiri SMukhopadhyay AHicks DBrantly ALuther K(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
https://dl.acm.org/doi/10.1145/3563657.3595997

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