Thomas Renault
Thomas Renault
Professeur
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Thomas Renault joined RITM, Université Paris-Saclay in September 2025 as Full Professor of Economics. He was previously Associate Professor at the University of Paris 1 Panthéon-Sorbonne and has served as a scientific advisor to the French Council of Economic Analysis and as consultant at the Banque de France, focusing on Artificial Intelligence and Large Language Models. Thomas Renault's research lies at the intersection of economics, finance, and technology. He specializes in applying machine learning and textual analysis to study how media and social media shape economic and financial behavior, with applications ranging from asset pricing to political economy and public health. He has also led several large-scale data projects, including recent work on fact-checking dynamics on social media, misinformation, and the adoption of generative AI.
Full Professor of Economics
Professeur
Economics
R(éseaux), I(nnovation)
Membre actuel
54 Bd Desgranges 92330 Sceaux
A106

Digital Economics - Policital Economy - Applied Economics

Applied Econometrics and Machine Learning (M2)

Economie de l'Intelligence Artificielle (M1)

Intermediate Econometrics (M1)

Finance de marché (L3)

  • Comprendre la monnaie avec Captain Economics. De Boeck Supérieur. (2023)
  • Comprendre la Bourse avec Captain Economics. De Boeck Supérieur. (2022)
  • Le bonheur est sur Twitter : un baromètre du moral des Français. Éditions rue d'Ulm-Presses de l'Ecole normale supérieure. (2022)
  • Monnaie, banque, finance. Avec Jézabel Couppey-Soubeyran.  Presses Universitaires de France (Puf) (2021)

 

« Guerres, conflits et intelligence artificielle (GuerreIA) » - Coordinateur principal

Programme Sorb’Rising, au titre du programme d’Investissement d’Avenir (ANR-21-EXES-0015).

Director of the M2 Economics

Selected list of publications :

Community-based fact-checking reduces the spread of misleading posts on social media. Nature Communications. Chuai, Y, Pilarski M., Renault, T, Restrepo-Amariles D., Troussel-Clément A., Lenzini G., Pröllochs N. (2026)

Republicans are flagged more often than Democrats for sharing misinformation on X's Community Notes. PNAS. Renault, T., Mosleh. M & Rand, D. (2025)

The usual suspects: Offender origin, media reporting and natives’ attitudes towards immigration. The Economic Journal. Keita, S., Renault, T., & Valette, J. (2024)

Media sentiment on monetary policy: Determinants and relevance for inflation expectations. Journal of International Money and Finance. Picault, M., Pinter, J., & Renault, T. (2022)

Economic uncertainty before and during the Covid-19 pandemic. Journal of Public Economics. Altig D., Baker S., Barrero JM., Bloom N., Bunn P., Chen S., Davis S., Leather J., Meyer B., Mihaylov E., Mizen P., Parker N., Renault T., Smietanka P., Thwaites G. (2020)

Intraday online investor sentiment and return patterns in the US stock market. Journal of Banking & Finance, 84, 25-40. Renault, T. (2017)

Words are not all created equal: a new measure of the ECB communication. Journal of International Money and Finance, 79, 136-156. Picault, M., Renault T. (2017)