| 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), e2025334119, 2022 | 236 | 2022 |
| Assessing demographic bias in named entity recognition S Mishra, S He, L Belli arXiv preprint arXiv:2008.03415, 2020 | 41 | 2020 |
| From optimizing engagement to measuring value S Milli, L Belli, M Hardt Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021 | 40 | 2021 |
| Examining algorithmic amplification of political content on Twitter R Chowdhury, L Belli Twitter https://blog. twitter. com/en_us/topics/company/2021/rml …, 2021 | 18 | 2021 |
| Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics T Lazovich, L Belli, A Gonzales, A Bower, U Tantipongpipat, K Lum, ... Patterns 3 (8), 2022 | 16 | 2022 |
| RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter’s Home Timeline VW Anelli, S Kalloori, B Ferwerda, L Belli, A Tejani, F Portman, ... Proceedings of the 15th ACM Conference on Recommender Systems, 819-824, 2021 | 15 | 2021 |
| RecSys 2020 challenge workshop: engagement prediction on Twitter’s home timeline VW Anelli, A Delić, G Sottocornola, J Smith, N Andrade, L Belli, ... Proceedings of the 14th ACM Conference on Recommender Systems, 623-627, 2020 | 15 | 2020 |
| Privacy-preserving recommender systems challenge on Twitter’s home timeline L Belli, SI Ktena, A Tejani, A Lung-Yut-Fon, F Portman, X Zhu, Y Xie, ... arXiv preprint arXiv:2004.13715, 2020 | 15 | 2020 |
| Pursuing privacy in recommender systems: the view of users and researchers from regulations to applications VW Anelli, L Belli, Y Deldjoo, T Di Noia, A Ferrara, F Narducci, C Pomo Proceedings of the 15th ACM Conference on Recommender Systems, 838-841, 2021 | 14 | 2021 |
| Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline L Belli, SI Ktena, A Tejani, A Lung-Yut-Fong, F Portman, X Zhu, Y Xie, ... arXiv preprint arXiv:2004.13715, 2020 | 12 | 2020 |
| The 2021 RecSys Challenge Dataset: Fairness is not optional L Belli, A Tejani*, F Portman*, A Lung-Yut-Fong*, B Chamberlain, Y Xie, ... Proceedings of the Recommender Systems Challenge 2021, 1-6, 2021 | 11 | 2021 |
| Reducing redundancy and model decay with embeddings D Shiebler, L Belli, J Baxter, H Xiong, A Tayal US Patent App. 16/271,630, 2019 | 5 | 2019 |
| Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems A Bower, K Lum, T Lazovich, K Yee, L Belli arXiv preprint arXiv:2209.05000, 2022 | 4 | 2022 |
| Fighting redundancy and model decay with embeddings D Shiebler, L Belli, J Baxter, H Xiong, A Tayal arXiv preprint arXiv:1809.07703, 2018 | 4 | 2018 |
| 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:2211.08667, 2022 | 3 | 2022 |
| 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 arXiv preprint arXiv:2210.06351, 2022 | 3 | 2022 |
| Causal Inference Struggles with Agency on Online Platforms S Milli, L Belli, M Hardt Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022 | 3 | 2022 |
| FAccTRec 2022: The 5th Workshop on Responsible Recommendation N Sonboli, T Kamishima, A Raj, L Belli, R Burke Proceedings of the 16th ACM Conference on Recommender Systems, 686-687, 2022 | 1 | 2022 |
| Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics T Lazovich, L Belli, A Gonzales, A Bower, U Tantipongpipat, K Lum, ... Patterns 4 (8), 2023 | | 2023 |
| Value-aligned recommendations L Belli, S Milli US Patent App. 16/989,870, 2022 | | 2022 |
