Tu crois que c'est vrai ? Diversite des regimes d'enonciation face aux fake news et mecanismes d'autoregulation conversationnelle
Manon Berriche

TL;DR
This thesis explores why fake news remains a small share of social media content despite widespread concerns, and how political polarization persists even among users skeptical of fake news, through mixed-methods studies on Twitter and Facebook.
Contribution
It provides a nuanced analysis of user practices and reactions to fake news, highlighting the role of active, politicized users and interactional norms in shaping discourse.
Findings
Fake news sharing is concentrated among highly politicized users.
Users deploy different critical responses based on social context.
Critical responses rarely lead to genuine deliberation or pluralism.
Abstract
This thesis addresses two paradoxes: (1) why empirical studies find that fake news represent only a small share of the information consulted and shared on social media despite the absence of editorial control or journalistic norms, and (2) how political polarization has intensified even though users do not appear especially receptive to fake news. To investigate these issues, two complementary studies were carried out on Twitter and Facebook, combining quantitative analyses of digital traces with online observation and interviews. This mixed-methods design avoids reducing users to single reactions to identified fake items and instead examines the variety of practices across different interactional situations, online and offline, while recording socio-demographic traits. The first study mapped users who shared at least one item labeled fake by fact-checkers in the French Twittersphere.…
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Taxonomy
TopicsLinguistics and Discourse Analysis · Linguistic and Sociocultural Studies · Military, Security, and Education Studies
