Soziale Grundlagen der Informatik
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Small collectives can hugely amplify a target song relative to its frequency in the training data.
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
This work examines how small collectives can amplify recommendations for a targeted song in transformer-based recommender systems with minimal platform performance impact, revealing non-adversarial yet effective strategies that raise broader questions about incentives and social dynamics [
].
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Soziale Grundlagen der Informatik
Publications
Social Foundations of Computation
Algorithms and Society
Conference Paper
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Baumann, J., Mendler-Dünner, C.
Advances in Neural Information Processing Systems 37 (NeurIPS 2024) , The Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), December 2024 (Published)
arXiv
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