Two benchmark datasets link user-preference data (MovieLens, Archive of Our Own) with community content-warning labels to study sensitive-content exposure in recommender systems.
InProceedings of the International AAAI Conference on Web and Social Media, Vol
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Datasets for Navigating Sensitive Topics in Recommendation Systems
Two benchmark datasets link user-preference data (MovieLens, Archive of Our Own) with community content-warning labels to study sensitive-content exposure in recommender systems.