Disinformation in group chat social media network

Abstract

This paper introduces a model exploring disinformation propagation within group chat social media networks and its sway on public opinions. The model highlights the observation that disinformation disseminators not only distribute misleading content to sway undecided individuals but also engage in a learning process to augment their influence. Undecided agents form divergent long-term opinions influenced by both their direct exposure to disinformation and their interactions within the social network. Identifying the key influencers in the network becomes crucial in mitigating the impact of disinformation. This study proposes novel centrality measures to pinpoint these influencers, providing social media companies with effective strategies to mitigate the impact of disinformation on their platforms.