Scholar
Muhammad Haroon
Google Scholar ID: K-B3uIEAAAAJ
University of California, Davis
Citations & Impact
Citations
150
H-index
4
i10-index
4
Publications
6
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms was accepted at ACL in May 2025.
- Nudging the Recommendation Algorithm Increases News Consumption and Diversity on YouTube was accepted at PNAS Nexus in November 2024.
- Auditing YouTube's Recommendation System for Ideologically Congenial, Extreme, and Problematic Recommendations was accepted in PNAS in June 2023.
- HARPO: Learning to Subvert Online Behavioral Advertising was accepted at NDSS'22 in October 2021.
- Avengers Ensemble! Improving Transferability of Authorship Obfuscation was published as an arXiv pre-print in 2021.
- Awarded the GGCS Research Fellowship ($7,177) for Spring 2023.
- Awarded the GGCS Research Fellowship ($18,000) for Summer 2023.
- Awarded the GGCS Research Fellowship ($18,000) for Summer 2024.
Research Experience
- Interned at the Data AI and Superintelligence Labs at Meta in June 2025.
- Invited to attend Meta Research Day at their Menlo Park office in October 2024.
- Presented at Trust & Safety Research Conference at Stanford University in September 2024.
- Attended Trust & Safety Research Conference at Stanford University in September 2023.
- Attended the third annual ProperData Symposium at Northeastern University in September 2023.
- Presented at Politics and Computational Social Science (PaCSS) conference at Harvard University in June 2022.
- Participated and presented at Summer Institute in Computational Social Science (SICSS) at the University of Pennsylvania in June 2022.
- Attended International AAAI Conference on Web and Social Media '22 (ICWSM) in Atlanta in June 2022.
- Attended IEEE Symposium on Security & Privacy '22 (Oakland) in San Francisco in May 2022.
Education
- PhD in Computer Science from the University of California, Davis, advised by Professor Magdalena Wojcieszak.
Background
- PhD candidate in Computer Science at the University of California, Davis, with research interests involving the privacy, societal, and safety implications of online algorithmic systems.
Miscellany
- Launched Nothing to Hide? A Data Privacy Podcast in December 2022.
