Predicting, Evaluating, and Explaining Top Misinformation Spreaders via Archetypal User Behavior
The spread of misinformation on social networks poses a significant challenge to online communities and society at large. Not all users contribute equally to this phenomenon: a small number of highly effective individuals can exert outsized influence, amplifying false narratives and contributing to significant societal harm. This paper seeks to mitigate the spread of misinformation by enabling proactive interventions, identifying and ranking users according to key behavioral indicators associated with harmful content dissemination. We examine three user archetypes -- amplifiers, super-spreaders, and coordinated accounts -- each characterized by distinct behavioral patterns in the dissemin...
| Authors | Enrico Verdolotti, Luca Luceri, Silvia Giordano |
|---|---|
| Primary category | cs.SI |
| Published | 17 August 2026 |
| Last updated at source | 17 August 2026 |
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