Auditing YouTube’s Recommendation Algorithm for Misinformation Filter Bubbles
(Transactions on Recommender Systems) What it takes to “burst the bubble,” i.e., revert the bubble enclosure from recommendations.
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Auditing Yelp’s Business Ranking and Review Recommendation Through the Lens of Fairness arxiv.org
(Arxiv) Audits the fairness of Yelp’s business ranking and review recommendation systems, with demographic parity, exposure, and statistical tests such as quantile linear and logistic regression.
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Opening Up the Black Box:Auditing Google's Top Stories Algorithm par.nsf.gov
(Flairs-32) Audit of the Google's Top stories panel that pro-vides insights into its algorithmic choices for selectingand ranking news publisher
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Everyday Algorithm Auditing: Understanding the Power of Everyday Users in Surfacing Harmful Algorithmic Behaviors arxiv.org
(CHI) Makes the case for "everyday algorithmic auditing" by users.
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Part 3: Bubble youtube.com
Audit Algorithms › Papers > 2023: “(Transactions on Recommender Systems) What it takes to “burst the bubble,” i.e., revert the bubble enclosure from recommendations.”