A method for measuring helpfulness in online peer review

Authors:
William Hart-Davidson;Michael McLeod;Christopher Klerkx;Michael Wojcik
Affiliations:
Michigan State University, East Lansing, MI;Michigan State University, East Lansing, MI;Michigan State University, East Lansing, MI;Michigan State University, East Lansing, MI
Venue:
Proceedings of the 28th ACM International Conference on Design of Communication
Year:
2010

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Abstract

This paper describes an original method for evaluating peer review in online systems by calculating the helpfulness of an individual reviewer's response. We focus on the development of specific and machine scoreable indicators for quality in online peer review.