Remi Oni
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Researcher
Graduate Student Researcher
Research Areas
Biography and Research Information
OverviewAI-generated summary
Remi Oni's research investigates the biases present in algorithmic recommendations, specifically focusing on YouTube. Their recent publication, "The bias beneath: analyzing drift in YouTube’s algorithmic recommendations," published in 2024, examines how these systems evolve and the underlying biases they may perpetuate. Oni's work contributes to the understanding of media algorithms and their societal impact. They have collaborated with Nitin Agarwal and Mert Can Çakmak at the University of Arkansas at Little Rock on shared publications, indicating an active engagement within the research community. Oni's scholarly output, though currently limited in volume, shows a clear direction in the critical analysis of digital media platforms and their operational mechanisms.
Metrics
- h-index: 1
- Publications: 1
- Citations: 23
Selected Publications
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The bias beneath: analyzing drift in YouTube’s algorithmic recommendations (2024)
Collaboration Network
Top Collaborators
- The bias beneath: analyzing drift in YouTube’s algorithmic recommendations
- The bias beneath: analyzing drift in YouTube’s algorithmic recommendations
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