Thomas Renault

University Paris-Saclay

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Thomas Renault

I am a Professor of Economics at Université Paris-Saclay and an AI consultant at the Banque de France. My research focuses on the economic and societal impact of digital technologies and artificial intelligence, with a particular emphasis on large language models. I combine causal inference, machine learning, and large-scale behavioral data to study how these technologies transform scientific research, information ecosystems, and economic decision-making.

Selected list of publications:

- Community-based fact-checking reduces the spread of misleading posts on X (formerly Twitter) (2026), Nature Communications

- Republicans are flagged more often than Democrats for sharing misinformation on X's Community Notes (2025), PNAS

- The Usual Suspects: Offender Origin, Media Reporting and Natives’ Attitudes Towards Immigration (2024), The Economic Journal



Selected list of working papers:

- Comment on Scientific production in the era of large language models (2026), with A. Bergeaud and C. Bosquet

- @Grok Is This True? LLM-Powered Fact-Checking on Social Media (2026), with M. Mosleh and D. Rand

- Emotions and Policy Views (2025), with E. Davoine, S. Stantcheva and Y. Algan



All publications - All Working Papers

Interests

  • Artificial Intelligence
  • Large Language Model
  • Natural Language Processing
  • Social Media
  • Media Economics
  • Machine Learning
  • Misinformation