TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds
Author:
Affiliation:
1. Boston University, Boston, USA
2. Max Planck Institute for Software Systems, Saarbrücken, Germany
3. TU Delft, Delft, Netherlands
4. University of Washington, Seattle, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589334.3645600
Reference24 articles.
1. Jack Bandy and Nicholas Diakopoulos. 2020. # TulsaFlop: A Case Study of Algorithmically-Influenced Collective Action on TikTok. arXiv preprint arXiv:2012.07716 (2020).
2. Maximilian Boeker and Aleksandra Urman. 2022. An Empirical Investigation of Personalization Factors on TikTok. arXiv preprint arXiv:2201.12271 (2022).
3. How Well Do People Report Time Spent on Facebook?
4. European Commision. 2016. General Data Protection Regulation. https://eurlex. europa.eu/eli/reg/2016/679/oj.
5. European Commission. 2023. The Digital Services Act package. https://digitalstrategy. ec.europa.eu/en/policies/digital-services-act-package.
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