The Impact of Affect on the Perception of Fake News on Social Media: A Systematic Review

Author:

Ali Adeeb Rana1ORCID,Mirhoseini Mahdi1ORCID

Affiliation:

1. Department of Supply Chain and Business Technology Management, John Molson School of Business, 1450 Guy St, Montreal, QC H3H 0A1, Canada

Abstract

Social media platforms, which are ripe with emotionally charged pieces of information, are vulnerable to the dissemination of vast amounts of misinformation. Little is known about the affective processing that underlies peoples’ belief in and dissemination of fake news on social media, with the research on fake news predominantly focusing on cognitive processing aspects. This study presents a systematic review of the impact of affective constructs on the perception of fake news on social media platforms. A comprehensive literature search was conducted in the SCOPUS and Web of Science databases to identify relevant articles on the topics of affect, misinformation, disinformation, and fake news. A total of 31 empirical articles were obtained and analyzed. Seven research themes and four research gaps emerged from this review. The findings of this review complement the existing literature on the cognitive mechanisms behind how people perceive fake news on social media. This can have implications for technology platforms, governments, and citizens interested in combating infodemics.

Funder

Fonds de recherche du Québec – Société et culture

Publisher

MDPI AG

Subject

General Social Sciences

Reference126 articles.

1. Ajzen, Icek (1996). Social Psychology: Handbook of Basic Principles, Guilford Press.

2. Ali Adeeb, Rana, and Mirhoseini, Mahdi (2023). Investigating the Impact of Mood and Emotion on the Perception of Fake News on Social Media Platforms. NeuroIS Retreat, 150–58. unpublished.

3. The Effects of Emotions, Individual Attitudes towards Vaccination, and Social Endorsements on Perceived Fake News Credibility and Sharing Motivations;Ali;Computers in Human Behavior,2022

4. Social Media and Fake News in the 2016 Election;Allcott;Journal of Economic Perspectives,2017

5. Fake News and COVID-19: Modelling the Predictors of Fake News Sharing among Social Media Users;Apuke;Telematics and Informatics,2021

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