Also see: Google Scholar.
Papers
[C]: Conference; [W]: Workshop; [P]: Preprint; [A]: Extended Abstract
[P] Understanding the Interplay of Scale, Data, and Bias in Language Models: a Case Study with BERT Muhammad Ali, Swetasudha Panda, Qinlan Shen, Michael Wick, Ari Kobren. arXiv, Jul 2024. [bibtex], [arXiv]
[C] Problematic Advertising and its Disparate Exposure on Facebook Muhammad Ali, Angelica Goetzen, Alan Mislove, Elissa M. Redmiles, Piotr Sapiezynski. USENIX Security Symposium. Anaheim, CA, Aug 2023. [bibtex], [arXiv]
[W] All Things Unequal: Measuring Disparity of Potentially Harmful Ads on Facebook Muhammad Ali, Angelica Goetzen, Alan Mislove, Elissa M. Redmiles, Piotr Sapiezynski. Workshop on Technology and Consumer Protection (ConPro) 2022 at IEEE S&P, San Francisco, CA, May 2022. [bibtex]
[A] Measuring and Mitigating Bias and Harm in Personalized Advertising Muhammad Ali. ACM Conference on Recommender Systems (RecSys), Amsterdam, The Netherlands, Sep 2021. [bibtex]
[C] Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging Muhammad Ali*, Piotr Sapiezynski*, Aleksandra Korolova, Alan Mislove, Aaron Rieke. ACM Conference on Web Search and Data Mining (WSDM). Virtual, Mar 2021. [talk], [bibtex]
✨ Press 📰 : Washington Post, WIRED, New Scientist
[C] Discrimination through optimization: How Facebook’s ad delivery can lead to skewed outcomes Muhammad Ali*, Piotr Sapiezynski*, Miranda Bogen, Aleksandra Korolova, Alan Mislove, Aaron Rieke. Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW ‘19), Austin, TX, USA, November 2019. [bibtex]
✨ Recognition 🏅: Diversty & Inclusion Award, Honorable Mention
✨ Press 📰 : Vox, The Economist, WIRED, The Intercept, MIT Technology Review, The Verge, Motherboard, and erm… Breitbart
[C] Potential for Discrimination in Online Targeted Advertising Till Speicher, Muhammad Ali, Giridhari Venkatadri, George Arvanitakis, Krishna P. Gummadi, Patrick Loiseau, and Alan Mislove. Proceedings of the 1st Conference on Fairness, Accountability, and Transparency (FAT*), New York, NY, February 2018. [bibtex]
✨ Recognition 🏅: Best Paper Nominee
[W] On Quantifying Knowledge Segregation in Society Abhijnan Chakraborty, Muhammad Ali, Saptarshi Ghosh, Niloy Ganguly, and Krishna P. Gummadi. Proceedings of the FATREC Workshop on Responsible Recommendation (colocated with RecSys 2017), Como, Italy, August 2017. [bibtex]
asterisk (*) indicates equal authorship
Theses
Measuring the Harms of Personalization through Advertising
Ph.D. Thesis, Northeastern University, Boston, MA, October 2023. [bibtex]
Measuring Bias in Facebook’s Ad-Targeting Attributes
Master’s Thesis, Saarland University, Saarbrücken, Germany, August 2018. [bibtex]