survey

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

Authors:

Katrin Hartwig,

Frederic Doell,

Christian ReuterAuthors Info & Claims

ACM Computing Surveys, Volume 56, Issue 11

Article No.: 292, Pages 1 - 36

https://doi.org/10.1145/3674724

Published: 22 July 2024 Publication History

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 6,000 scholarly publications were screened, and a systematic literature review (N=172) was conducted. A taxonomy was derived regarding intervention design (e.g., labels, showing indicators of misinformation, corrections, removal, or visibility reduction of content), user interaction (active or passive), and timing (e.g., pre or post exposure to misinformation or on request of the user). We provide a structured overview of approaches across multiple disciplines and derive six overarching challenges for future research regarding transferability of approaches to (1) novel platforms and (2) emerging video- and image-based misinformation, the sensible combination of automated mechanisms with (3) human experts and (4) user-centered feedback to facilitate comprehensibility, (5) encouraging media literacy without misinformation exposure, and (6) adequately addressing particularly vulnerable users such as older people or adolescents.

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Cited By

Bragazzi NGarbarino S(2024)Understanding and Combating Misinformation: An Evolutionary PerspectiveJMIR Infodemiology10.2196/655214(e65521)Online publication date: 27-Dec-2024
https://doi.org/10.2196/65521
Allen JWatts DRand D(2024)Quantifying the impact of misinformation and vaccine-skeptical content on FacebookScience10.1126/science.adk3451384:6699Online publication date: 31-May-2024
https://doi.org/10.1126/science.adk3451
Miri AKarimi-Shahanjarini AAfshari MBashirian STapak L(2024)Understanding the features and effectiveness of randomized controlled trials in reducing COVID-19 misinformation: a systematic reviewHealth Education Research10.1093/her/cyae03639:6(495-506)Online publication date: 1-Nov-2024
https://doi.org/10.1093/her/cyae036
Show More Cited By

Index Terms

The Landscape of User-centered Misinformation Interventions - A Systematic Literature Review
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models

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Published In

cover image ACM Computing Surveys

ACM Computing Surveys Volume 56, Issue 11

November 2024

977 pages

EISSN:1557-7341

DOI:10.1145/3613686

Editors:
David Atienza
Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland
,
Michela Milano
University of Bologna, Italy

Issue’s Table of Contents

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Publication History

Published: 22 July 2024

Online AM: 25 June 2024

Accepted: 18 June 2024

Revised: 08 June 2024

Received: 16 January 2023

Published in CSUR Volume 56, Issue 11

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Cited By

Bragazzi NGarbarino S(2024)Understanding and Combating Misinformation: An Evolutionary PerspectiveJMIR Infodemiology10.2196/655214(e65521)Online publication date: 27-Dec-2024
https://doi.org/10.2196/65521
Allen JWatts DRand D(2024)Quantifying the impact of misinformation and vaccine-skeptical content on FacebookScience10.1126/science.adk3451384:6699Online publication date: 31-May-2024
https://doi.org/10.1126/science.adk3451
Miri AKarimi-Shahanjarini AAfshari MBashirian STapak L(2024)Understanding the features and effectiveness of randomized controlled trials in reducing COVID-19 misinformation: a systematic reviewHealth Education Research10.1093/her/cyae03639:6(495-506)Online publication date: 1-Nov-2024
https://doi.org/10.1093/her/cyae036
Reuter CLee Hughes ABuntain C(2024)Combating information warfare: state and trends in user-centred countermeasures against fake news and misinformationBehaviour & Information Technology10.1080/0144929X.2024.2442486(1-14)Online publication date: 18-Dec-2024
https://doi.org/10.1080/0144929X.2024.2442486
Hartwig KSchmid SBiselli TPleil HReuter C(2024)Misleading information in crises: exploring content-specific indicators for misleading information on Twitter from a user perspectiveBehaviour & Information Technology10.1080/0144929X.2024.2373166(1-34)Online publication date: 8-Jul-2024
https://doi.org/10.1080/0144929X.2024.2373166
Sievi LPawelec M(2024)(How) Should security authorities counter false information on social media in emergencies, disasters, and catastrophes? A democracy-theoretical and ethical reflectionInternational Journal of Disaster Risk Reduction10.1016/j.ijdrr.2024.105093(105093)Online publication date: Dec-2024
https://doi.org/10.1016/j.ijdrr.2024.105093
Chen CShu K(2024)Combating misinformation in the age of LLMsAI Magazine10.1002/aaai.1218845:3(354-368)Online publication date: 25-Sep-2024
https://dl.acm.org/doi/10.1002/aaai.12188

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