Carlotta Burzio
User–Source interaction patterns in misinformation spread: analyzing source consistency and source-topic relationships in a fact-checked Twitter dataset.
Rel. Luca Dall'Asta, Joana Gonçalves De Sá, Ana Vranic. Politecnico di Torino, Corso di laurea magistrale in Physics Of Complex Systems (Fisica Dei Sistemi Complessi), 2026
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Abstract
The spread of misinformation online is a continuously growing phenomenon that remains difficult to tackle due to its scale and complexity. Social platforms play a major role in this spread because users are simultaneously consumers and publishers of information, serving as vectors for the dissemination of content that often escapes the veracity checks applied by traditional information channels. Understanding the dynamics underlying users' online sharing choices is, therefore, a challenging yet fundamental objective for accurately characterizing the landscape of online misinformation. Although misinformation in online environments and users’ news consumption habits have been extensively studied, relatively little attention has been paid to the relationship between users and sources of the content they share in misinformation contexts.
This thesis investigates these relationships on Twitter by analyzing a large dataset of tweets that shared sources (URLs) fact-checked by independent fact-checking organizations
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