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Sepehr Mousavi
Institution:
Max Planck Institute for Software Systems
Observed institution:
Max Planck Institute for Software Systems
ORCID:
0000-0002-3023-4479
Observed ORCID:
0000-0002-3023-4479
OpenAlex ID:
A5101840596
TikTok and the Art of Personalization: Investigating Exploration and Exploitation on Social Media Feeds
2024
·
Karan Vombatkere
, Sepehr Mousavi
, et al.
·
International World Wide Web Conference (WWW)
·
72
Studying Behavioral Addiction by Combining Surveys and Digital Traces: A Case Study of TikTok
2025
·
Cai Yang
, Sepehr Mousavi
, et al.
·
Proceedings of the International AAAI Conference on Web and Social Media
·
28
PDF
Auditing Algorithmic Explanations of Social Media Feeds: A Case Study of TikTok Video Explanations
2024
·
Sepehr Mousavi
, Krishna P. Gummadi
, et al.
·
Proceedings of the International AAAI Conference on Web and Social Media
·
23
PDF
Coupling GDPR Data Donation and Crowdsourced User Survey: A Case Study on TikTok Addiction
2024
·
Cai Yang
, Sepehr Mousavi
, et al.
·
ACM Web Science Conference (WebSci)
·
4
PDF
Setting the Course, but Forgetting to Steer: Analyzing Compliance with GDPR's Right of Access to Data by Instagram, TikTok, and Youtube
2026
·
Sai Keerthana Karnam
, Abhisek Dash
, et al.
·
IEEE Symposium on Security and Privacy (S&P)
·
2
PDF
ClipMind: A Framework for Auditing Short-Format Video Recommendations Using Multimodal AI Models
2025
·
Aoyu Gong
, Sepehr Mousavi
, et al.
·
Proceedings of the International AAAI Conference on Web and Social Media
·
2
PDF
Exploring the Limits of Predicting User Watching Behavior with Short-Form Videos on TikTok
2026
·
Carolina Coimbra Vieira
, Sepehr Mousavi
, et al.
·
ACM Web Science Conference (WebSci)
Does Ad-Free Mean Less Data Collection? An Empirical Study of Platform Data Practices and User Expectations
2026
·
Sepehr Mousavi
, Abhisek Dash
, et al.
·
International World Wide Web Conference (WWW)
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Works count:
8
Citation count:
131
H-index:
4
I10-index:
3
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