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hassani-et-al-2024-unveiling-the-waves-of-mis-and-disinformation-from-social-media.pdf

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/106545 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/106545 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/106545 archive 353 disk0/00/01/98/06 2024-06-11 08:16:22 2025-03-12 05:01:17 2024-06-11 08:16:22 article show Hassani H. 9469 Komendantova N. 1880 0000-0003-2568-6179 Rovenskaya E. 8206 0000-0002-2761-3443 Yeganegi R. 2456 0000-0003-4109-0690 pub ASA CAT Misinformation, disinformation, X (Twitter) datasocial media, multidimensional analytics In the digital era, social media platforms have become the focal point for public discourse, with a significant impact on shaping societal narratives. However, they are also rife with mis- and disinformation, which can rapidly disseminate and influence public opinion. This paper investigates the propagation of mis- and disinformation on X, a social media platform formerly known as Twitter. We employ a multidimensional analytical approach, integrating sentiment analysis, wavelet analysis, and network analysis to discern the patterns and intensity of misleading information waves. Sentiment analysis elucidates the emotional tone and subjective context within which information is framed. Wavelet analysis reveals the temporal dynamics and persistence of disinformation trends over time. Network analysis maps the intricate web of information flow, identifying key nodes and vectors of virality. The results offer a granular understanding of how false narratives are constructed and sustained within the digital ecosystem. This study contributes to the broader field of digital media literacy by highlighting the urgent need for robust analytical tools to navigate and neutralize the infodemic in the age of social media. 2024-05-25 published World Scientific doi:10.1142/S1793962324500338 3410 161 260 3692 public International Journal of Modeling, Simulation, and Scientific Computing TRUE 1793-9623 info:eu-repo/semantics/article