CE23 - Intelligence artificielle et science des données 2025

Exploring the Interplay between Emotions and Distortion in Informal Science Discourse – EMO-SCI

Submission summary

Scientific claims and informal discussions about science-related issues online have increased significantly, often becoming tools for manipulative narratives and disinformation. Emotions like fear and pride play a key role in spreading such claims, especially during crises like pandemics or natural disasters. Even well-intended science communication introduces distortions through (over-)simplification, decontextualization, inaccurate or missing references, complicating fact-checking and broader discourse analysis. While emotions frequently coincide with these distortions, their interplay remains under-investigated. EMO-SCI researches the link between emotions and informal online scientific discourse by integrating emotion detection with the analysis of informal scientific claims. It pioneers research at their intersection, offering new annotated data, models and tools for analyzing emotions in online science claims, while also exploring these phenomena for the first time in the context of dialogues with Artificial Intelligence (AI) chatbots. The project’s goals are oriented towards providing tools for better understanding and reducing science-related mis- and disinformation online.

Project coordination

Konstantin Todorov (UNIVERSITÉ DE MONTPELLIER (EPE))

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partnership

UM-LIRMM UNIVERSITÉ DE MONTPELLIER (EPE)
I3S Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis
University of Trier
HHU - Heinrich-Heine-University of Düsseldorf

Help of the ANR 399,483 euros
Beginning and duration of the scientific project: February 2026 - 36 Months

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