Misinformation in Group Chat Social Media Network

Abstract

Reducing the impact of misinformation has become a challenge for many social media companies. This paper provides a model to investigate the spread of misinformation in a group chat social media network and how it affects users’ opinions on a public issue. In this model, misinformation spreaders not only post misinformation to influence undecided individuals’ opinions but also learn new misinformation narratives from others to strengthen the persuasiveness of their message. Identifying the most influential agents in the network is crucial to reduce the impact of misinformation, and we provide new centrality measures to do so.

Keywords: Misinformation, Social media network, Network centrality