M.S. Applied Data Science - Capstone Chronicles 2025

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Le Merrer, E., Tredan, G., & Yesilkanat, A. (2023, July 19). Modeling rabbit ‑ holes on YouTube [preprint]. arXiv. https://doi.org/10.48550/arXiv.2307.09986

Mishra, S., Rizoiu, M. A., & Xie, L. (2018). Modeling popularity in asynchronous social media streams with recurrent neural networks [preprint]. arXiv. https://arxiv.org/abs/1804.02101 Nisa, K., Suryani, D., Luthfi, A., & Akbar, R. M. (2021). Optimizing prediction of YouTube video popularity using XGBoost. Electronics, 10 (23), 2962. https://doi.org/10.3390/electronics10232962 Pinto, H., Almeida, J. M., & Gonçalves, M. A. (2013). Using early view patterns to predict the popularity of YouTube videos. Proceedings of the Sixth ACM International Conference on Web Search and Data Mining , 365–374. https://dl.acm.org/doi/10.1145/2433396.243 3443 Trzcinski, T., & Rokita, P. (2015). Predicting popularity of online videos using support vector regression. IEEE International Conference on Computer Vision Workshops (ICCVW) , 898–903. https://arxiv.org/abs/1510.06223 Xie, X., & Liu, Q. (2020). Unbox the blackbox: Predict and interpret YouTube viewership using deep learning [Preprint]. arXiv. https://arxiv.org/abs/2101.01076 Yan, Z., Vishwamitra, N., & Li, J. (2017). LARM: A lifetime-aware regression model for predicting YouTube video popularity. Proceedings of the 26th ACM International Conference on Information and Knowledge Management , 1–10.

References Al-Khalifa, H. S., Alharthi, M. A., & AlQahtani, A. S. (2025). Using video titles to predict YouTube audience engagement. Journal of Theoretical and Applied Information Technology, 103 (8), 1307–1319. https://www.jatit.org/volumes/Vol103No8/3 3Vol103No8.pdf Arye, M., Sen, S., & Freedman, M. J. (2018, December 31). Poor video streaming performance explained (and fixed) [Preprint]. arXiv. https://doi.org/10.48550/arXiv.1901.00038 AMPS: Predicting popularity of short-form videos using YouTube Shorts. Journal of Retailing and Consumer Services, 77 , 103531. https://doi.org/10.1016/j.jretconser.2024.103 531 Covington, P., Adams, J., & Sargin, E. (2017). Beyond views: Measuring and predicting engagement in online videos. arXiv . https://arxiv.org/abs/1709.02541 Horta Ribeiro, M., & West, R. (2020). YouNiverse: Large-scale channel and video metadata from English-speaking YouTube . arXiv. https://arxiv.org/abs/2012.10378 Kong, Q., Rizoiu, M. A., Wu, X., & Xie, L. (2018). Will this video go viral? Explaining and predicting the popularity of YouTube videos . arXiv. https://arxiv.org/abs/1801.04117 Cho, S., Lee, J., Kim, M., & Park, Y. (2024).

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