Discrimination through Optimization: How Facebook's Ad Delivery Can Lead to Biased Outcomes M Ali, P Sapiezynski, M Bogen, A Korolova, A Mislove, A Rieke Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 199, 2019 | 442 | 2019 |
Potential for Discrimination in Online Targeted Advertising T Speicher, M Ali, G Venkatadri, F Ribeiro, G Arvanitakis, F Benevenuto, ... ACM Conference on Fairness, Accountability, and Transparency (FAT*), 2018 | 229 | 2018 |
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging M Ali, P Sapiezynski, A Korolova, A Mislove, A Rieke Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 75 | 2021 |
All Things Unequal: Measuring Disparity of Potentially Harmful Ads on Facebook M Ali, A Goetzen, P Sapiezynski, E Redmiles, A Mislove | 9 | 2022 |
Measuring and Mitigating Bias and Harm in Personalized Advertising M Ali Proceedings of the 15th ACM Conference on Recommender Systems, 869-872, 2021 | 7 | 2021 |
On Quantifying Knowledge Segregation in Society A Chakraborty, M Ali, S Ghosh, N Ganguly, KP Gummadi FATREC Workshop on Responsible Recommendation at RecSys 2017, 2017 | 7 | 2017 |
Problematic Advertising and its Disparate Exposure on Facebook M Ali, A Goetzen, A Mislove, EM Redmiles, P Sapiezynski Proceedings of the 32nd USENIX Security Symposium, 2023, 2023 | 6 | 2023 |
Measuring the Harms of Personalization Through Advertising M Ali Northeastern University, 2023 | | 2023 |