The Landscape of User-centered Misinformation Interventions -- A Systematic Literature Review
January 16, 2023 Β· Declared Dead Β· π ACM Computing Surveys
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Authors
Katrin Hartwig, Frederic Doell, Christian Reuter
arXiv ID
2301.06517
Category
cs.HC: Human-Computer Interaction
Citations
36
Venue
ACM Computing Surveys
Last Checked
3 months ago
Abstract
Misinformation is one of the key challenges facing society today. User-centered misinformation interventions as digital countermeasures that exert a direct influence on users represent a promising means to deal with the large amounts of information available. While an extensive body of research on this topic exists, researchers are confronted with a diverse research landscape spanning multiple disciplines. This review systematizes the landscape of user-centered misinformation interventions to facilitate knowledge transfer, identify trends, and enable informed decision-making. Over 5,700 scholarly publications were screened and a systematic literature review (N=163) was conducted. A taxonomy was derived regarding intervention design (e.g., (binary) label), user interaction (active or passive), and timing (e.g., post exposure to misinformation). We provide a structured overview of approaches across multiple disciplines, and derive six overarching challenges for future research.
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