Hazem Ibrahim

Computer Science Ph.D - New York University

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Hi! I’m Hazem, a second year Ph.D candidate at NYU studying Computer Science, with a specific focus on Computational Social Science.

My research interests lie in understanding the societal impact of technology, from discerning the existence of algorithmic bias in recommendation systems, to the misuse of technology in academic/pedagogical contexts. Currently, my work is focused on understanding how ethnic and gender representations have changed in popular forms of media, such as in movies or fashion magazines, and how these different groups are presented contextually.

Outside of academia, I’ve also coached the three New York University Abu Dhabi varsity basketball teams, winning the Abu Dhabi Intercollegiate Sports League title in 2022-2023.

Email: hazem.ibrahim [at] nyu.edu

News

Nov 2, 2024 Successfully passed my qualifying exam and transitioned to a Ph.D. Candidate!
Nov 1, 2024 Published our work titled “A Longitudinal Analysis of Racial and Gender Bias in New York Times and Fox News Images and Articles” on arXiv.
Jul 21, 2024 Presented four papers (3 talks and 1 poster) at IC2S2 in Philadelphia, winning both the Best Parallel Talk and Best Poster awards.
Jun 1, 2024 Published our work titled “Inclusive content reduces racial and gender biases, yet non-inclusive content dominates popular media outlets” on arXiv.
Nov 24, 2023 Published our work titled “Google Scholar is manipulatable” on arXiv. This work was covered by the news teams at Science and Nature.

Selected publications

  1. arXiv
    Inclusive content reduces racial and gender biases, yet non-inclusive content dominates popular media outlets
    Nouar AlDahoul, Hazem Ibrahim, Minsu Park, and 2 more authors
    arXiv preprint arXiv:2405.06404, 2024
  2. arXiv
    Google Scholar is manipulatable
    Hazem Ibrahim, Fengyuan Liu, Yasir Zaki, and 1 more author
    arXiv preprint arXiv:2402.04607, 2024
  3. Sci. Reports
    Perception, performance, and detectability of conversational artificial intelligence across 32 university courses
    Hazem Ibrahim, Fengyuan Liu, Rohail Asim, and 8 more authors
    Scientific Reports, 2023
  4. PNAS Nexus
    YouTube’s recommendation algorithm is left-leaning in the United States
    Hazem Ibrahim, Nouar AlDahoul, Sangjin Lee, and 2 more authors
    PNAS nexus, 2023