Ugochukwu Onyepunuka

This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.

Researcher

UA Little Rock

Also affiliated: Cosmos Corporation (United States) (2024)

Unknown Researcher

2 h-index 4 pubs 24 cited

Research Areas

Links

ORCID

OverviewAI-generated summary

Ugochukwu Onyepunuka's research investigates bias within artificial intelligence systems, with a particular focus on recommender algorithms like YouTube's. His work analyzes how factors such as emotion, morality, and network dynamics influence the presentation of content, especially in relation to geopolitical discourse and specific ethnic groups. Onyepunuka has published on the computational analysis of online discourse, examining how initiatives like the Belt and Road Initiative are discussed on platforms such as Indonesian Twitter.

His recent publications include "Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm" (2023) and "Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content" (2024). Onyepunuka collaborates with researchers at the University of Arkansas at Little Rock, including Mert Can Çakmak, Obianuju Okeke, Billy Spann, and Nitin Agarwal. He has a current h-index of 2 with 4 total publications and 24 citations.

Metrics

h-index: 2
Publications: 4
Citations: 24

Selected Publications

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

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

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

12 citations DOI OpenAlex