A practical approach to constructing triple-blind review process with maximal anonymity and fairness

Jisoo Jung, Joo Im Kim, Ji Won Yoon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Most journals and conferences adopt blind review process to ensure fairness through anonymization. Although the identity of an author is blinded in a manuscript, information about the author is known to the system when an account is created for submission. So, Information leak or the abuse from journal editor, who is able to access this information, could discredit the review process. Therefore, the triple-blind review process has been proposed to maximize anonymity through blinding the author, reviewer and also the editor. However, it has not been widely used compared to single- and double-blind review processes because there is difficulty in selecting the reviewers when the author is not known to the editor. In this paper, we propose a novel scheme to select the adequate reviewers in the triple-blind review process without any disclosure of author information to even the editor. This is done by using machine learning classification and a conflict of interest measuring method.

Original languageEnglish
Title of host publicationInformation Security Applications - 17th International Workshop, WISA 2016, Revised Selected Papers
PublisherSpringer Verlag
Pages198-209
Number of pages12
Volume10144 LNCS
ISBN (Print)9783319565484
DOIs
Publication statusPublished - 2017
Event17th International Workshop on Information Security Applications, WISA 2016 - Jeju Island, Korea, Republic of
Duration: 2016 Aug 252016 Aug 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10144 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Workshop on Information Security Applications, WISA 2016
CountryKorea, Republic of
City Jeju Island
Period16/8/2516/8/25

Keywords

  • Artificial neural network
  • Author identification
  • Blind review process
  • Conflict Of Interest
  • Multinomial naive Bayes

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Jung, J., Kim, J. I., & Yoon, J. W. (2017). A practical approach to constructing triple-blind review process with maximal anonymity and fairness. In Information Security Applications - 17th International Workshop, WISA 2016, Revised Selected Papers (Vol. 10144 LNCS, pp. 198-209). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10144 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-56549-1_17