Research

This is just a selection of papers and pre-prints. Please refer to my Google Scholar page for the full list.

Data Sharing and the Delegated Act of Europe's DSA
Luca Belli. Tech Policy Press, 2024

The Moral Case for Using Language Model Agents for Recommendation
Seth Lazar, Luke Thorburn, Tian Jin, Luca Belli
Measuring and Understanding Amplification on Social Media Platforms
Marlena Wisniak, Luca Belli. Tech Policy Press, 2024

AI Act e standard tecnici: come garantire la conformità e l’affidabilità dell’AI [in Italian]
Luca Belli, Mario Di Carlo. Agenda Digitale, 2024

Red Teaming AI: The Devil Is In The Details
Sina Fazelpour, Dylan Hadfield-Menell, Luca Belli. Tech Policy Press, 2024

What's in an Algorithm? Empowering Users Through Nutrition Labels for Social Media Recommender Systems
Luca Belli, Marlena Wisniak; Algorithmic Amplification and Society Essay for the Knight First Amendment Institute, 2023
Algorithmic amplification of politics on Twitter
F Huszár, SI Ktena, C O’Brien, L Belli, A Schlaikjer, M Hardt; Proceedings of the National Academy of Sciences 119 (1), e2025334119642022

Assessing demographic bias in named entity recognition
S Mishra, S He, L Belli; arXiv preprint arXiv:2008.03415182020

From Optimizing engagement to Measuring Value
S Milli, L Belli, M Hardt; Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics
Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tao Tantipongpipat, Kristian Lum, Ferenc Huszár and Rumman Chowdhury. Patterns 4, 2023

County-level Algorithmic Audit of Racial Bias in Twitter's Home Timeline
L Belli, K Yee, U Tantipongpipat, A Gonzales, K Lum, M Hardt; arXiv preprint arXiv:2211.086672022

A Keyword Based Approach to Understanding the Overpenalization of Marginalized Groups by English Marginal Abuse Models on Twitter
K Yee, AS Sebag, O Redfield, E Sheng, M Eck, L Belli; Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing (TrustNLP 2023)

Causal Inference Struggles with Agency on Online Platforms
S Milli, L Belli, M Hardt; 2022 ACM Conference on Fairness, Accountability, and Transparency, 357-3652022


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