An Empirical Investigation of Personalization Factors on TikTok-Reference-Cited by-同舟云学术

An Empirical Investigation of Personalization Factors on TikTok

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Boeker Maximilian¹,Urman Aleksandra²

Affiliation:

1. Department of Informatics, University of Zurich, Switzerland and Faculty of Informatics, Technical University of Munich, Germany

2. Department of Informatics, University of Zurich, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512102

Reference58 articles.

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2. The hidden side effects of recommendation systems;Adomavicius Gediminas;MIT Sloan Management Review,2019

3. Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube

4. Katie Anderson . 2020. Getting acquainted with social networks and apps: it is time to talk about TikTok . Library Hi Tech News ahead-of-print (02 2020 ). https://doi.org/10.1108/LHTN-01-2020-0001 10.1108/LHTN-01-2020-0001 Katie Anderson. 2020. Getting acquainted with social networks and apps: it is time to talk about TikTok. Library Hi Tech News ahead-of-print (02 2020). https://doi.org/10.1108/LHTN-01-2020-0001

5. Salman Aslam. 2021. TikTok by the Numbers: Stats Demographics & Fun Facts. https://www.omnicoreagency.com/tiktok-statistics/ Salman Aslam. 2021. TikTok by the Numbers: Stats Demographics & Fun Facts. https://www.omnicoreagency.com/tiktok-statistics/

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