Curbing Dissemination of Fake News: Role of Information Verification Cost, Trust in Information, Truth-Seeking, and Fake News Awareness on Information Verification Behavior

Social media platforms have revolutionized the dissemination of information, enabling real-time citizen-driven journalism. However, this unprecedented accessibility has also facilitated the proliferation of fake news, often perpetuated by users who share information without verification. This study investigates the information verification behaviors of social media users in the context of fake news. Drawing upon the Elaboration Likelihood Model, we propose a research model to explore individuals' verification behaviors and test 11 hypotheses using a survey of active social media users. Results confirm all proposed hypotheses, revealing that online news quality, news source credibility, trust in social media information, fake news awareness, perceived cost of verification, and truth-seeking motive significantly influence information verification behaviors. Theoretical and practical implications are discussed in detail in light of these findings.

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Publication Details

Journal
ACM SIGMIS Database the DATABASE for Advances in Information Systems
Published
2025-04-24
DOI
https://doi.org/10.1145/3733612.3733616
Citations
1
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
4.20
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article

Curbing Dissemination of Fake News: Role of Information Verification Cost, Trust in Information, Truth-Seeking, and Fake News Awareness on Information Verification Behavior

Sarbottam Bhagat, Russell R. Torres, Dan J. Kim
1 citations
ACM SIGMIS Database the DATABASE for Advances in Information Systems
Misinformation and Its Impacts
4.20
article

Curbing Dissemination of Fake News: Role of Information Verification Cost, Trust in Information, Truth-Seeking, and Fake News Awareness on Information Verification Behavior

Sarbottam Bhagat, Russell R. Torres, Dan J. Kim
article en
1 citations

Abstract

Social media platforms have revolutionized the dissemination of information, enabling real-time citizen-driven journalism. However, this unprecedented accessibility has also facilitated the proliferation of fake news, often perpetuated by users who share information without verification. This study investigates the information verification behaviors of social media users in the context of fake news. Drawing upon the Elaboration Likelihood Model, we propose a research model to explore individuals' verification behaviors and test 11 hypotheses using a survey of active social media users. Results confirm all proposed hypotheses, revealing that online news quality, news source credibility, trust in social media information, fake news awareness, perceived cost of verification, and truth-seeking motive significantly influence information verification behaviors. Theoretical and practical implications are discussed in detail in light of these findings.

ACM SIGMIS Database the DATABASE for Advances in Information SystemsVol. 56(2)
University of North Texas (US), University of Wisconsin–Eau Claire (US), Decision Sciences (United States) (US)
Openalex Percentile: Top 8%
Misinformation and Its Impacts
4.20
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