Abstract

BackgroundAlthough fake news creation and consumption are mutually related and can be changed to one another, our review indicates that a significant amount of research has primarily focused on news creation. To mitigate this research gap, we present a comprehensive survey of fake news research, conducted in the fields of computer and social sciences, through the lens of news creation and consumption with internal and external factors.MethodsWe collect 2,277 fake news-related literature searching six primary publishers (ACM, IEEE, arXiv, APA, ELSEVIER, and Wiley) from July to September 2020. These articles are screened according to specific inclusion criteria (see Fig 1). Eligible literature are categorized, and temporal trends of fake news research are examined.ResultsAs a way to acquire more comprehensive understandings of fake news and identify effective countermeasures, our review suggests (1) developing a computational model that considers the characteristics of news consumption environments leveraging insights from social science, (2) understanding the diversity of news consumers through mental models, and (3) increasing consumers’ awareness of the characteristics and impacts of fake news through the support of transparent information access and education.ConclusionWe discuss the importance and direction of supporting one’s “digital media literacy” in various news generation and consumption environments through the convergence of computational and social science research.

Highlights

  • The spread of fake news deceives the public, and affects society, politics, the economy and culture

  • To mitigate this research gap, we present a comprehensive survey of fake news research, conducted in the fields of computer and social sciences, through the lens of news creation and consumption with internal and external factors

  • We presented a comprehensive summary of fake news research through the lenses of news creation and consumption

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Summary

Background

Fake news creation and consumption are mutually related and can be changed to one another, our review indicates that a significant amount of research has primarily focused on news creation. To mitigate this research gap, we present a comprehensive survey of fake news research, conducted in the fields of computer and social sciences, through the lens of news creation and consumption with internal and external factors

Methods
Results
Conclusion
Introduction
Fake news definition and trends
Fake news creation
External factors
Internal factors
Fake news detection and prevention
Fake news awareness and prevention
A mental-model approach
Mental models
Mental models and misinformation
Potential contributions of a mental-model approach
Leveraging insights of social science to model development
Lack of research on fake news consumption
Limited coverage of fact-checking websites and regulatory approach
New media literacy
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