Publication: An Empirical Investigation of Personalization Factors on TikTok
An Empirical Investigation of Personalization Factors on TikTok
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Boeker, M., & Urman, A. (2022). An Empirical Investigation of Personalization Factors on TikTok (F. Laforest & et al, Eds.; pp. 2298–2309). Association for Computing Machinery. https://doi.org/10.1145/3485447.3512102
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TikTok currently is the fastest growing social media platform with over 1 billion active monthly users of which the majority is from generation Z. Arguably, its most important success driver is its recommendation system. Despite the importance of TikTok’s algorithm to the platform’s success and content distribution, little work has been done on the empirical analysis of the algorithm. Our work lays the foundation to fill this research gap. Using a sock-puppet audit methodology with a custom algorithm developed by us, we tested and ana
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- Boeker, Maximilian
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Boeker, M., & Urman, A. (2022). An Empirical Investigation of Personalization Factors on TikTok (F. Laforest & et al, Eds.; pp. 2298–2309). Association for Computing Machinery. https://doi.org/10.1145/3485447.3512102
