Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction
Authors: 
Cai Yang, Sepehr Mousavi, Abhisek Dash, Krishna P. Gummadi, 
Ingmar WeberAuthors Info & Claims
Pages 51 - 52
Abstract
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References
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Prerna Juneja, Md Momen Bhuiyan, and Tanushree Mitra. 2023. Assessing enactment of content regulation policies: A post hoc crowd-sourced audit of election misinformation on YouTube. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1–22.
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Sepehr Mousavi, Krishna P. Gummadi, and Savvas Zannettou. 2024. Auditing Algorithmic Explanations of Social Media Feeds: A Case Study of TikTok Video Explanations. Proceedings of the International AAAI Conference on Web and Social Media 18 (Jun. 2024). (To appear).
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Till Speicher, Muhammad Ali, Giridhari Venkatadri, Filipe Nunes Ribeiro, George Arvanitakis, Fabrício Benevenuto, Krishna P Gummadi, Patrick Loiseau, and Alan Mislove. 2018. Potential for discrimination in online targeted advertising. In Conference on fairness, accountability and transparency. PMLR, 5–19.
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Savvas Zannettou, Olivia Nemes-Nemeth, Oshrat Ayalon, Angelica Goetzen, Krishna P Gummadi, Elissa M Redmiles, and Franziska Roesner. 2024. Analyzing User Engagement with TikTok’s Short Format Video Recommendations using Data Donations. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems(CHI ’24). Association for Computing Machinery. (To appear).
Index Terms
- Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction
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May 2024
128 pages
ISBN:9798400704536
DOI:10.1145/3630744
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Published: 13 June 2024
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