Mert Can Cakmak

Orcid: 0009-0006-0018-9693

According to our database1, Mert Can Cakmak authored at least 23 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform.
CoRR, March, 2026

A System for Name and Address Parsing with Large Language Models.
CoRR, January, 2026

Evaluating Semantic and Syntactic Understanding in Large Language Models for Payroll Systems.
CoRR, January, 2026

Case Count Metric for Comparative Analysis of Entity Resolution Results.
CoRR, January, 2026

2025
Influence of symbolic content on recommendation bias: analyzing YouTube's algorithm during Taiwan's 2024 election.
Appl. Netw. Sci., December, 2025

Policy-Aware Generative AI for Safe, Auditable Data Access Governance.
CoRR, October, 2025

A Keyframe-Based Approach for Auditing Bias in YouTube Shorts Recommendations.
CoRR, September, 2025

Efficient Data Retrieval and Comparative Bias Analysis of Recommendation Algorithms for YouTube Shorts and Long-Form Videos.
CoRR, July, 2025

Investigating Algorithmic Bias in YouTube Shorts.
CoRR, July, 2025

PRISM: Perceptual Recognition for Identifying Standout Moments in Human-Centric Keyframe Extraction.
CoRR, June, 2025

TriPSS: A Tri-Modal Keyframe Extraction Framework Using Perceptual, Structural, and Semantic Representations.
CoRR, June, 2025

Multi-Agent RAG Framework for Entity Resolution: Advancing Beyond Single-LLM Approaches with Specialized Agent Coordination.
Comput., 2025

Unpacking Algorithmic Bias in YouTube Shorts by Analyzing Thumbnails.
Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

Simulating User Watch-Time to Investigate Bias in YouTube Shorts Recommendations.
Proceedings of the Social Networks Analysis and Mining - 17th International Conference, 2025

2024
The bias beneath: analyzing drift in YouTube's algorithmic recommendations.
Soc. Netw. Anal. Min., December, 2024

Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics.
Proceedings of the Social, Cultural, and Behavioral Modeling, 2024

High-Speed Transcript Collection on Multimedia Platforms: Advancing Social Media Research through Parallel Processing.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Examining Multimodel Emotion Assessment and Resonance with Audience on YouTube.
Proceedings of the 2024 9th International Conference on Multimedia and Image Processing, 2024

Emotion Assessment of YouTube Videos using Color Theory.
Proceedings of the 2024 9th International Conference on Multimedia and Image Processing, 2024

Characterizing Multimedia Adoption and its Role on Mobilization in Social Movements.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content.
Proceedings of the Complex Networks & Their Applications XII, 2023

Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023


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