Nick Seaver

Sociology and Political Science · 2015–2018

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Nick Seaver trusts overall

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

  1. Anind K. Dey
  2. Gediminas Adomavicius
  3. Paul Dourish
  4. Kate Crawford
  5. Alan D. J. Cooke
  6. D. boyd
  7. Ted Striphas
  8. Alexander Tuzhilin
  9. Paul Resnick
  10. David Beer

Who trusts Nick Seaver overall

  1. Maranke Wieringa
  2. Anna Lauren Hoffmann
  3. S. Milano
  4. Emily L. Denton
  5. Carsten Schwemmer
  6. Ben Green
  7. Ulrich Leicht‐Deobald
  8. Joëlle Swart
  9. Sophie Bishop
  10. Andres Guzman

Papers from Nick Seaver's perspective

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

  1. Evaluating collaborative filtering recommender systems
  2. How the machine ‘thinks’: Understanding opacity in machine learning algorithms
  3. The Black Box Society: The Secret Algorithms That Control Money and Information
  4. Being accurate is not enough: how accuracy metrics have hurt recommender systems (CHI Extended Abstracts)
  5. An open architecture for collaborative filtering of netnews
  6. A user-centric evaluation framework for recommender systems (ACM Conference on Recommender Systems)
  7. CRITICAL QUESTIONS FOR BIG DATA
  8. Algorithmic culture
  9. Explaining collaborative filtering recommendations
  10. What we talk about when we talk about context

Their papers