Conspiracy Thinking, Online Misinformation, and Hate: Insights from an Italian News Story Using Topic Modeling Techniques

Abstract

This study delved into the realm of conspiratorial thinking and misinformation on Twitter, examining the case of Silvia Romano, an Italian aid worker who faced online conspiratorial attacks before and after her release. With the increasing prevalence of conspiratorial narratives on social media, this research investigated the interplay between conspiratorial thinking and the dissemination of misinformation. Two datasets comprising Italian tweets were analyzed, aiming to uncover primary topics, detect instances of conspiratorial thinking, explore broader emerging topics beyond Silvia Romano’s case, and examine whether authors of conspiratorial narratives also engage in spreading misinformation. Twitter served as a critical platform for this study, reflecting its evolving role in news dissemination and social networking. The research employed topic modeling techniques and coherence scores to achieve these objectives, addressing challenges posed by the inherent ambiguities in defining conspiratorial narratives. The findings contribute to a deeper understanding of the complex dynamics of conspiratorial thinking and misinformation in the digital age.