Janghee Cho

Sociology and Political Science · 2018

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Janghee Cho trusts overall

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

  1. Eszter Hargittai
  2. Emilee J. Rader
  3. Nava Tintarev

Papers from Janghee Cho's perspective

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

  1. The effects of transparency on trust in and acceptance of a content-based art recommender
  2. The role of transparency in recommender systems
  3. The Relevance of Algorithms
  4. A Survey of Explanations in Recommender Systems
  5. Designing and Evaluating Explanations for Recommender Systems
  6. Evaluating the effectiveness of explanations for recommender systems
  7. Explaining Recommendations: Satisfaction vs. Promotion
  8. Explanations From Intelligent Systems: Theoretical Foundations and Implications for Practice
  9. "I always assumed that I wasn't really that close to [her]": Reasoning about Invisible Algorithms in News Feeds
  10. Understanding User Beliefs About Algorithmic Curation in the Facebook News Feed

Their papers