Our next data science ethics bookclub is on recommender systems. You are welcome to pick from this reading list, depending on your interest and the time you have:
Articles
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“How Recommendation Algorithms Run the World” is a Wired article giving an overview of recommender systems and associated risks by Zeynep Tufekci.
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“YouTube’s algorithms might radicalise people – but the real problem is we’ve no idea how they work” is an article from The Conversation, by Chico Q. Camargo
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Business Insider article: Former Google data scientist: Don’t blame the internet for dividing the country.
Academic journal articles
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“Recommender Systems and their Ethical Challenges” is an academic review paper by Milano, Taddeo & Floridi
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“Regulating Recommending: Motivations, Considerations, and Principles” is an academic paper by Cobbe and Singh
Quick reads
- Five risks of news personalization - particularly good for the non-technical reader
Tutorial
- “Experimentation with fairness-aware recommendation using librec-auto” is material for a hands-on tutorial from FAT* Conference 2020, by Burke and Mansoury