Papers by Luc Raszewski

1 papers
Detecting Sockpuppetry on Wikipedia Using Meta-Learning (2025.acl-long)

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Challenge: Existing approaches to model author-specific sockpuppet detection on Wikipedia are limited in data-scarce settings.
Approach: They propose to use meta-learning to improve model adaptation to a new sockpuppet-group by training models across multiple tasks.
Outcome: The proposed technique improves performance in data-scarce settings by training models across multiple tasks.

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