Ugochukwu Onyepunuka Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Little Rock

unknown

2 h-index 4 pubs 23 cited

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Biography and Research Information

OverviewAI-generated summary

Ugochukwu Onyepunuka's research focuses on analyzing bias and fairness within artificial intelligence systems, particularly recommender algorithms. His work has investigated the impact of YouTube's recommendation algorithm on geopolitical discourse, examining how factors like emotion, morality, and network dynamics influence content related to China and the Uyghur population. Onyepunuka has also conducted computational analysis of discourse surrounding the Belt and Road Initiative on Indonesian Twitter. He collaborates with researchers at the University of Arkansas at Little Rock, including Mert Can Çakmak, Obianuju Okeke, Billy Spann, and Nitin Agarwal, with whom he has co-authored multiple publications. His scholarly output includes four publications, accumulating 23 citations and an h-index of 2.

Metrics

  • h-index: 2
  • Publications: 4
  • Citations: 23

Selected Publications

  • Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content (2024) DOI
  • Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm (2023) DOI

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