Ugochukwu Onyepunuka Data-verified

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

Researcher

UA Little Rock

Last publication 2024 Last refreshed 2026-05-02

unknown

2 h-index 4 pubs 23 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Ugochukwu Onyepunuka's research investigates the presence and impact of bias within artificial intelligence systems, particularly focusing on recommendation algorithms used by platforms like YouTube. His work analyzes how factors such as emotion, morality, and network dynamics influence the content presented to users, with a specific examination of geopolitical discourse related to China and the Uyghurs. Onyepunuka also studies the computational analysis of online discourse, including the Belt and Road Initiative as discussed on Indonesian Twitter.

His scholarly output includes multiple publications in 2023 and 2024. Onyepunuka has collaborated with researchers at the University of Arkansas at Little Rock, including Mert Can Çakmak, Obianuju Okeke, Billy Spann, and Nitin Agarwal. His research contributions are reflected in a current h-index of 2 and 23 total citations across 4 publications.

Metrics

h-index: 2
Publications: 4
Citations: 23

Selected Publications

Evaluating Bias and Fairness in AI: An Analysis of YouTube’s Recommendation Algorithm and its Impact on Geopolitical Discourse (2024)

DOI OpenAlex
Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content (2024)

10 citations DOI OpenAlex
Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm (2023)

11 citations DOI OpenAlex