The Landscape of User-centered Misinformation Interventions -- A Systematic Literature Review

January 16, 2023 Β· Declared Dead Β· πŸ› 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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