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      Challenges, experiments, and computational solutions in peer review

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      Communications of the ACM
      Association for Computing Machinery (ACM)

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          Abstract

          Improving the peer review process in a scientific manner shows promise.

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          Most cited references43

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          Is Open Access

          Reviewer bias in single- versus double-blind peer review

          Significance Scientific peer review has been a cornerstone of the scientific method since the 1600s. Debate continues regarding the merits of single-blind review, in which anonymous reviewers know the authors of a paper and their affiliations, compared with double-blind review, in which this information is hidden. We present an experimental study of this question. In computer science, research often appears first or exclusively in peer-reviewed conferences rather than journals. Our study considers full-length submissions to the highly selective 2017 Web Search and Data Mining conference (15.6% acceptance rate). Each submission is simultaneously scored by two single-blind and two double-blind reviewers. Our analysis shows that single-blind reviewing confers a significant advantage to papers with famous authors and authors from high-prestige institutions.
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            The ups and downs of peer review.

            This article traces the history of peer review of scientific publications, plotting the development of the process from its inception to its present-day application. We discuss the merits of peer review and its weaknesses, both perceived and real, as well as the practicalities of several major proposed changes to the system. It is our hope that readers will gain a better appreciation of the complexities of the process and, when serving as reviewers themselves, will do so in a manner that will enhance the utility of the exercise. We also propose the development of an international on-line training program for accreditation of potential referees.
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              Effects of Editorial Peer Review

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                Author and article information

                Journal
                Communications of the ACM
                Commun. ACM
                Association for Computing Machinery (ACM)
                0001-0782
                1557-7317
                June 2022
                May 20 2022
                June 2022
                : 65
                : 6
                : 76-87
                Affiliations
                [1 ]Carnegie Mellon University, Pittsburgh, PA
                Article
                10.1145/3528086
                566c68a3-b01b-404a-a0b1-1efde0c272f8
                © 2022

                http://www.acm.org/publications/policies/copyright_policy#Background

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