Title: Unmasking an infodemic: what characteristics are fuelling misinformation on social media?

Authors: Ezgi Akar

Addresses: Department: Business Communication and Information Systems, College of Business, University of Wisconsin – Eau Claire, 105 Garfield Ave Eau Claire, WI, 54702, USA

Abstract: The COVID-19 pandemic has created an infodemic, flooding various media channels. While much research has focused on detecting false information or assessing the severity of the problem, little attention has been given to the role of message and source characteristics in information dissemination. To address this gap, we developed a research model based on the Undeutsch hypothesis, four-factor theory, and source credibility theory. We analysed a pre-defined dataset involving fake and true tweets from Twitter. We examined their message and source characteristics through descriptive statistics, negative binomial regression, and multi-group analyses. Our findings revealed significant differences in the dissemination of false and true tweets. By understanding the impact of message and source characteristics on the spread of misinformation, we can work towards creating a more informed and trustworthy information ecosystem during times of crisis. These results have crucial implications for practitioners, providing insight into developing effective strategies to combat COVID-19 misinformation.

Keywords: COVID-19; misinformation; infodemic; information dissemination; Twitter.

DOI: 10.1504/IJAMC.2024.140646

International Journal of Advanced Media and Communication, 2024 Vol.8 No.1, pp.53 - 76

Received: 17 Apr 2023
Accepted: 17 Jan 2024
Published online: 29 Aug 2024 *

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