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message: "If you use this dataset or code, please cite the paper."
title: "Two Buttons, One Feed: Aligning YouTube Recommendations Requires Both Controls"
abstract: >-
Data and analysis code for a 2x2 factorial sock-puppet audit of YouTube's
explicit feedback controls ('like' and 'not interested') across twelve
simulated adolescent accounts.
authors:
- family-names: Cho
given-names: Desiree
affiliation: "University of Oxford"
- family-names: Hale
given-names: Scott A.
affiliation: "Oxford Internet Institute, University of Oxford"
- family-names: Zhao
given-names: Jun
affiliation: "Department of Computer Science, University of Oxford"
- family-names: Shadbolt
given-names: Nigel
affiliation: "University of Oxford"
- family-names: Przybylski
given-names: Andrew K.
affiliation: "Oxford Internet Institute, University of Oxford"
license: MIT
date-released: 2025-09-11
keywords:
- algorithm auditing
- recommender systems
- YouTube
- user agency
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