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

Author:

Zade Himanshu1ORCID,Woodruff Megan1ORCID,Johnson Erika1ORCID,Stanley Mariah1ORCID,Zhou Zhennan1ORCID,Huynh Minh Tu1ORCID,Acheson Alissa Elizabeth1ORCID,Hsieh Gary1ORCID,Starbird Kate1ORCID

Affiliation:

1. University of Washington, Seattle, WA, USA

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.

Funder

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

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