Mert Can Cakmak

According to our database, Mert Can Cakmak authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The bias beneath: analyzing drift in YouTube's algorithmic recommendations.

Mert Can Cakmak, Nitin Agarwal, Remi Oni

Soc. Netw. Anal. Min., December, 2024

Unveiling Bias in YouTube Shorts: Analyzing Thumbnail Recommendations and Topic Dynamics.

Mert Can Cakmak, Nitin Agarwal, Selimhan Dagtas, Diwash Poudel

Proceedings of the Social, Cultural, and Behavioral Modeling, 2024

High-Speed Transcript Collection on Multimedia Platforms: Advancing Social Media Research through Parallel Processing.

Mert Can Cakmak, Nitin Agarwal

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Examining Multimodel Emotion Assessment and Resonance with Audience on YouTube.

Niloofar Yousefi, Mert Can Cakmak, Nitin Agarwal

Proceedings of the 2024 9th International Conference on Multimedia and Image Processing, 2024

Emotion Assessment of YouTube Videos using Color Theory.

Mert Can Cakmak, Mainuddin Shaik, Nitin Agarwal

Proceedings of the 2024 9th International Conference on Multimedia and Image Processing, 2024

Characterizing Multimedia Adoption and its Role on Mobilization in Social Movements.

Mainuddin Shaik, Mert Can Cakmak, Billy Spann, Nitin Agarwal

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.

Mert Can Cakmak, Obianuju Okeke, Billy Spann, Nitin Agarwal

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.

Mert Can Cakmak, Obianuju Okeke, Ugochukwu Onyepunuka, Billy Spann, Nitin Agarwal

Proceedings of the Complex Networks & Their Applications XII, 2023

Analyzing Bias in Recommender Systems: A Comprehensive Evaluation of YouTube's Recommendation Algorithm.

Mert Can Cakmak, Obianuju Okeke, Ugochukwu Onyepunuka, Billy Spann, Nitin Agarwal

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023