Karen Yeung

Sociology and Political Science · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Sociology and Political Science — 8 citations into it; #4,788 of 22,756 by trust here, #14,364 by citations
• Safety Research — 7 citations into it; #2,681 of 5,829 by trust here, #5,214 by citations
• AI Ethics, Fairness & Society — 5 citations into it

Whom Karen Yeung trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Daniel Kahneman
2. Amos Tversky
3. Shoshana Zuboff
4. Alessandro Acquisti
5. D. boyd
6. Rob Kitchin
7. David Beer
8. Adrian Mackenzie
9. John Cheney-Lippold
10. Paul Dourish

Who trusts Karen Yeung overall

1. Maranke Wieringa
2. Emilio Ferrara
3. Henrik Skaug Sætra
4. Madalina Busuioc
5. Vincent C. Müller
6. Simon Caton
7. Andreas T. Schmidt
8. Anneke Zuiderwijk
9. Inioluwa Deborah Raji
10. Thilo Hagendorff

Papers from Karen Yeung's perspective

Ordered by how strongly the researchers Karen Yeung trusts endorse each paper. Same corpus, a different order for every researcher.

1. Thinking, Fast and Slow
2. Predictably Irrational: The Hidden Forces That Shape Our Decisions
3. Clinical versus mechanical prediction: a meta-analysis.
4. The challenges and limits of big data algorithms in technocratic governance
5. Addiction by Design
6. CRITICAL QUESTIONS FOR BIG DATA
7. A Behavioral Model of Rational Choice
8. The Black Box Society: The Secret Algorithms That Control Money and Information
9. CHAPTER EIGHT. Fairness as a Constraint on Profit Seeking: Entitlements in the Market
10. Choices, Values, and Frames

Their papers

• Recommendation of the Council on Artificial Intelligence (OECD) (2020) — 662 citations
• ‘Hypernudge’: Big Data as a mode of regulation by design (2017) — 602 citations
• Algorithmic Regulation: A Critical Interrogation (2018) — 534 citations
• Algorithmic Regulation (2019)