Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm. - Mert Can Cakmak; Obianuju Okeke; Ugochukwu Onyepunuka; Billy Spann; Nitin Agarwal 001 (ASONAM, 2023)

Investigating Bias in YouTube Recommendations: Emotion, Morality, and Network Dynamics in China-Uyghur Content. - Mert Can Cakmak; Obianuju Okeke; Ugochukwu Onyepunuka; Billy Spann; Nitin Agarwal 001 (COMPLEX NETWORKS (1), 2023)

Adopting Parallel Processing for Rapid Generation of Transcripts in Multimedia-rich Online Information Environment. - Mert Can Cakmak; Obianuju Okeke; Billy Spann; Nitin Agarwal 001 (IPDPS Workshops, 2023)

Characterizing Multimedia Adoption and its Role on Mobilization in Social Movements. - Mainuddin Shaik; Mert Can Cakmak; Billy Spann; Nitin Agarwal 001 (HICSS, 2024)

Emotion Assessment of YouTube Videos using Color Theory. - Mert Can Cakmak; Mainuddin Shaik; Nitin Agarwal 001 (ICMIP, 2024)

Examining Multimodel Emotion Assessment and Resonance with Audience on YouTube. - Niloofar Yousefi 002; Mert Can Cakmak; Nitin Agarwal 001 (ICMIP, 2024)

High-Speed Transcript Collection on Multimedia Platforms: Advancing Social Media Research through Parallel Processing. - Mert Can Cakmak; Nitin Agarwal 001 (IPDPS (Workshops), 2024)

Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics. - Mert Can Cakmak; Nitin Agarwal 001; Selimhan Dagtas; Diwash Poudel (SBP-BRiMS, 2024)

The bias beneath: analyzing drift in YouTube's algorithmic recommendations. - Mert Can Cakmak; Nitin Agarwal 001; Remi Oni (Soc. Netw. Anal. Min., 2024)

TriPSS: A Tri-Modal Keyframe Extraction Framework Using Perceptual, Structural, and Semantic Representations. - Mert Can Cakmak; Nitin Agarwal 001; Diwash Poudel (CoRR, 2025)

PRISM: Perceptual Recognition for Identifying Standout Moments in Human-Centric Keyframe Extraction. - Mert Can Cakmak; Nitin Agarwal 001; Diwash Poudel (CoRR, 2025)

Simulating User Watch-Time to Investigate Bias in YouTube Shorts Recommendations. - Selimhan Dagtas; Mert Can Cakmak; Nitin Agarwal 001 (CoRR, 2025)

Investigating Algorithmic Bias in YouTube Shorts. - Mert Can Cakmak; Nitin Agarwal 001; Diwash Poudel (CoRR, 2025)

Efficient Data Retrieval and Comparative Bias Analysis of Recommendation Algorithms for YouTube Shorts and Long-Form Videos. - Selimhan Dagtas; Mert Can Cakmak; Nitin Agarwal 001 (CoRR, 2025)

Influence of symbolic content on recommendation bias: analyzing YouTube's algorithm during Taiwan's 2024 election. - Mert Can Cakmak; Nitin Agarwal 001 (Appl. Netw. Sci., 2025)