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Misinformation in group chat social media network

Author

Listed:
  • Yaping Shan

    (University of Adelaide)

Abstract

Amid the growing concern over misinformation’s influence on social media, this paper introduces a model exploring misinformation propagation within group chat social media networks and its sway on public opinions. The model underscores that misinformation disseminators not only distribute deceptive content to sway undecided individuals but also engage in a learning process to augment their influence. Crucially, identifying the network’s key influencers emerges as pivotal in mitigating misinformation’s impact. This study proposes novel centrality measures to pinpoint these influencers, equipping social media companies with effective strategies to curtail the impact of misinformation on their platforms.

Suggested Citation

  • Yaping Shan, 2023. "Misinformation in group chat social media network," School of Economics and Public Policy Working Papers 2023-08 Classification-D8, University of Adelaide, School of Economics and Public Policy.
    • Handle: RePEc:adl:wpaper:2023-08
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    File URL: https://media.adelaide.edu.au/economics/papers/doc/wp2023-08.pdf
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