Match tier
Confirmed
Presence
Current · Arkansas
Last published
2026
Sources
OpenAlex · ORCID
Refreshed
2026-10-05
M
Mert Can Çakmak
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
Also affiliated: University of Calgary (2022); University of Southern Denmark (2022); University of Arkansas System (2024–2026); Istanbul Medipol University (2022)
9 h-index
38 pubs
180 cited
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Mert Can Çakmak researches algorithmic bias and recommendation systems, particularly focusing on YouTube. His work investigates how biases manifest in algorithmic content delivery, examining aspects such as emotion assessment, color theory, and moral dynamics within YouTube's recommendation algorithms. Çakmak has published research analyzing drift in YouTube's algorithmic recommendations and evaluating the comprehensive nature of bias within these systems. He also explores methods for improving research efficiency, including adopting parallel processing for rapid transcript generation in multimedia-rich online environments. His scholarship metrics include an h-index of 9, with 33 total publications and 175 total citations. Key collaborators include Nitin Agarwal, Diwash Poudel, John R. Talburt, and Billy Spann, all from the University of Arkansas at Little Rock.
Metrics
- h-index: 9
- Publications: 38
- Citations: 180
Positions
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Assistant Professor 2026–presentArkansas Tech University Computer and Information Science ORCID
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AI Researcher 2022–2026University of Arkansas at Little Rock Computer and Information science ORCID
Selected Publications
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A Hybrid Entity Resolution Pipeline Integrating LLM Intelligence, Semantic Clustering, and Household Movement Analysis (2026)
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A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models (2026)
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Engineering Queryable Industrial Product Knowledge Bases from Technical Documents: A Survey of Data, Knowledge, and Retrieval Pipelines (2026)
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Positive Data Control: A Secure Architecture for LLM-Mediated Data Governance (2026)
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Simulating User Watch-Time to Investigate Bias in YouTube Shorts Recommendations (2026)
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Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems (2026)
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A System for Name and Address Parsing with Large Language Models (2026)
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Policy-Aware Generative AI for Safe, Auditable Data Access Governance (2025)
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Investigating Algorithmic Bias in YouTube Shorts (2025)
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Beyond the Click: How YouTube Thumbnails Shape User Interaction and Algorithmic Recommendations (2025)
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Influence of symbolic content on recommendation bias: analyzing YouTube’s algorithm during Taiwan’s 2024 election (2025)
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Examining the Impact of Symbolic Content on YouTube’s Recommendation System (2025)
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Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics (2024)
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The bias beneath: analyzing drift in YouTube’s algorithmic recommendations (2024)
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Emotion Assessment of YouTube Videos using Color Theory (2024)
Collaboration Network
Top Collaborators
Nitin Agarwal
University of Arkansas at Little Rock
11 shared publications
In database
- The bias beneath: analyzing drift in YouTube’s algorithmic recommendations
- Emotion Assessment of YouTube Videos using Color Theory
- Examining Multimodel Emotion Assessment and Resonance with Audience on YouTube
- Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment
- Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm
Showing 5 of 11 shared publications
Obianuju Okeke
University of Arkansas at Little Rock
4 shared publications
In database
- Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment
- Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm
- Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content
- Evaluating Bias and Fairness in AI: An Analysis of YouTube’s Recommendation Algorithm and its Impact on Geopolitical Discourse
Billy Spann
University of Arkansas at Little Rock
4 shared publications
In database
- Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment
- Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm
- Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content
- Evaluating Bias and Fairness in AI: An Analysis of YouTube’s Recommendation Algorithm and its Impact on Geopolitical Discourse
Diwash Poudel
University of Arkansas at Little Rock
4 shared publications
In database
- Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics
- Beyond the Click: How YouTube Thumbnails Shape User Interaction and Algorithmic Recommendations
- Examining the Impact of Symbolic Content on YouTube’s Recommendation System
- Investigating Algorithmic Bias in YouTube Shorts
John Talburt
University of Arkansas at Little Rock
4 shared publications
In database
- A System for Name and Address Parsing with Large Language Models
- Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems
- A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models
- A Hybrid Entity Resolution Pipeline Integrating LLM Intelligence, Semantic Clustering, and Household Movement Analysis
Ugochukwu Onyepunuka
University of Arkansas at Little Rock
3 shared publications
In database
- Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm
- Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content
- Evaluating Bias and Fairness in AI: An Analysis of YouTube’s Recommendation Algorithm and its Impact on Geopolitical Discourse
Shames Al Mandalawi
University of Arkansas at Little Rock
3 shared publications
In database
- Policy-Aware Generative AI for Safe, Auditable Data Access Governance
- Positive Data Control: A Secure Architecture for LLM-Mediated Data Governance
- A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models
Hendrika Maclean
University of Arkansas at Little Rock
3 shared publications
In database
- Policy-Aware Generative AI for Safe, Auditable Data Access Governance
- Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems
- A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models
S. Dağtaş
University of Arkansas at Little Rock
2 shared publications
In database
- Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics
- Simulating User Watch-Time to Investigate Bias in YouTube Shorts Recommendations
Muzakkiruddin Ahmed Mohammed
University of Arkansas at Little Rock
2 shared publications
In database
- Policy-Aware Generative AI for Safe, Auditable Data Access Governance
- A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models
John R. Talburt
University of Arkansas at Little Rock
2 shared publications
In database
- Policy-Aware Generative AI for Safe, Auditable Data Access Governance
- Positive Data Control: A Secure Architecture for LLM-Mediated Data Governance
Adeeba Tarannum
University of Arkansas at Little Rock
2 shared publications
In database
- A System for Name and Address Parsing with Large Language Models
- A Coordinated Multi-agent Architecture for Automated Data Governance Using Large Language Models
Muzakkiruddin Ahmed Mohammed
University of Arkansas at Little Rock
2 shared publications
In database
- A System for Name and Address Parsing with Large Language Models
- Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems
Shames Al Mandalawi
University of Arkansas at Little Rock
2 shared publications
In database
- A System for Name and Address Parsing with Large Language Models
- Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems
Niloofar Yousefi
University of Arkansas at Little Rock (US)
1 shared publication
- Examining Multimodel Emotion Assessment and Resonance with Audience on YouTube
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