Exploring beyond detection: a review on fake news prevention and mitigation techniques

Dorsaf Sallami () and Esma Aïmeur
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Dorsaf Sallami: University of Montreal
Esma Aïmeur: University of Montreal

Journal of Computational Social Science, 2025, vol. 8, issue 1, No 23, 38 pages

Abstract: Abstract In today’s digital age, accessing a vast amount of information online has become effortless. However, the question remains: can all of this information be trusted? Unfortunately, the answer is no. Although various research efforts have focused on fake news detection, regrettably, these approaches have proven to be relatively ineffective. Consequently, there is a pressing need to investigate more strategies for countering the spread of fake news beyond mere detection. This survey aims to provide a comprehensive review of various prevention and mitigation techniques. We introduce a novel taxonomy and analyze the challenges inherent in countering fake news at each level through a systematic examination of the literature. Furthermore, we explore potential avenues for future research. Our conclusion underscores the multidisciplinary nature of this issue, emphasizing the necessity for collaborative efforts across diverse disciplines to effectively address fake news.

Keywords: Fake news; Disinformation; Misinformation; Prevention; Mitigation; Taxonomy (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s42001-024-00351-x

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