On Testing for Biases in Peer Review
Ivan Stelmakh, Nihar Shah, Aarti Singh
–Neural Information Processing Systems
We consider the issue of biases in scholarly research, specifically, in peer review. There is a long standing debate on whether exposing author identities to reviewers induces biases against certain groups, and our focus is on designing tests to detect the presence of such biases. Our starting point is a remarkable recent work by Tomkins, Zhang and Heavlin which conducted a controlled, large-scale experiment to investigate existence of biases in the peer reviewing of the WSDM conference.
Neural Information Processing Systems
Jan-27-2025, 07:16:18 GMT
- Country:
- Europe > United Kingdom
- England (0.14)
- North America > United States (0.68)
- Europe > United Kingdom
- Genre:
- Research Report
- Experimental Study (1.00)
- New Finding (0.68)
- Strength High (0.68)
- Research Report
- Technology: