Grant Hugh

Computer Science Applications · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Grant Hugh trusts overall

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

  1. Lilly C. Irani

Who trusts Grant Hugh overall

  1. Clara Vania
  2. Madeleine Grunde-McLaughlin
  3. Nikita Nangia
  4. Tianyi Zhang

Papers from Grant Hugh's perspective

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

  1. Being a turker
  2. Turkopticon: interrupting worker invisibility in amazon mechanical turk
  3. More than fun and money. Worker Motivation in Crowdsourcing - A Study on Mechanical Turk (Americas Conference on Information Systems)
  4. Demographics of Mechanical Turk
  5. The labor economics of paid crowdsourcing
  6. Crowds in two seconds: enabling realtime crowd-powered interfaces (ACM Symposium on User Interface Software and Technology)
  7. A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
  8. Examining Crowd Work and Gig Work Through the Historical Lens of Piecework
  9. Get another label? improving data quality and data mining using multiple, noisy labelers
  10. We Are Dynamo: Overcoming Stalling and Friction in Collective Action for Crowd Workers

Their papers