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Does single blind peer review hinder newcomers?

Author

Listed:
  • Marco Seeber
  • Alberto Bacchelli

Abstract

Several fields of research are characterized by the coexistence of two different peer review modes to select quality contributions for scientific venues, namely double blind (DBR) and single blind (SBR) peer review. In the first, the identities of both authors and reviewers are not known to each other, whereas in the latter the authors’ identities are visible since the start of the review process. The need to adopt either one of these modes has been object of scholarly debate, which has mostly focused on issues of fairness. Past work reported that SBR is potentially associated with biases related to the gender, nationality, and language of the authors, as well as the prestige and type of their institutions. Nevertheless, evidence is lacking on whether revealing the identities of the authors favors reputed authors and hinder newcomers, a bias with potentially important consequences in terms of knowledge production. Accordingly, we investigate whether and to what extent SBR, compared to a DBR, relates to a higher ration of reputed scholars, at the expense of newcomers. This relation is pivotal for science, as past research provided evidence that newcomers support renovation and advances in a research field by introducing new and heterodox ideas and approaches, whereas inbreeding have serious detrimental effects on innovation and creativity. Our study explores the mentioned issues in the field of computer science, by exploiting a database that encompasses 21,535 research papers authored by 47,201 individuals and published in 71 among the 80 most impactful computer science conferences in 2014 and 2015. We found evidence that—other characteristics of the conferences taken in consideration—SBR indeed relates to a lower ration of contributions from newcomers to the venue and particularly newcomers that are otherwise experienced of publishing in other computer science conferences, suggesting the possible existence of ingroup–outgroup behaviors that may harm knowledge advancement in the long run.

Suggested Citation

  • Marco Seeber & Alberto Bacchelli, 2017. "Does single blind peer review hinder newcomers?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 567-585, October.
  • Handle: RePEc:spr:scient:v:113:y:2017:i:1:d:10.1007_s11192-017-2264-7
    DOI: 10.1007/s11192-017-2264-7
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    as
    1. Squazzoni, Flaminio & Bravo, Giangiacomo & Takács, Károly, 2013. "Does incentive provision increase the quality of peer review? An experimental study," Research Policy, Elsevier, vol. 42(1), pages 287-294.
    2. James G. March, 1991. "Exploration and Exploitation in Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 71-87, February.
    3. Karen A. Bantel & Susan E. Jackson, 1989. "Top management and innovations in banking: Does the composition of the top team make a difference?," Strategic Management Journal, Wiley Blackwell, vol. 10(S1), pages 107-124, June.
    4. Christine Wennerås & Agnes Wold, 1997. "Nepotism and sexism in peer-review," Nature, Nature, vol. 387(6631), pages 341-343, May.
    5. Hugo Horta & Francisco M. Veloso & Rócio Grediaga, 2010. "Navel Gazing: Academic Inbreeding and Scientific Productivity," Management Science, INFORMS, vol. 56(3), pages 414-429, March.
    6. Oswald, Andrew J., 2008. "Can We Test for Bias in Scientific Peer-Review?," IZA Discussion Papers 3665, Institute of Labor Economics (IZA).
    7. Manuel Soler, 2001. "How inbreeding affects productivity in Europe," Nature, Nature, vol. 411(6834), pages 132-132, May.
    8. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    9. Juan Miguel Campanario, 2009. "Rejecting and resisting Nobel class discoveries: accounts by Nobel Laureates," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(2), pages 549-565, November.
    10. Franzoni, Chiara & Scellato, Giuseppe & Stephan, Paula, 2014. "The mover’s advantage: The superior performance of migrant scientists," Economics Letters, Elsevier, vol. 122(1), pages 89-93.
    11. Azzurra Ragone & Katsiaryna Mirylenka & Fabio Casati & Maurizio Marchese, 2013. "On peer review in computer science: analysis of its effectiveness and suggestions for improvement," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(2), pages 317-356, November.
    12. Carole J. Lee & Cassidy R. Sugimoto & Guo Zhang & Blaise Cronin, 2013. "Bias in peer review," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(1), pages 2-17, January.
    13. Paul J Roebber & David M Schultz, 2011. "Peer Review, Program Officers and Science Funding," PLOS ONE, Public Library of Science, vol. 6(4), pages 1-6, April.
    14. Blank, Rebecca M, 1991. "The Effects of Double-Blind versus Single-Blind Reviewing: Experimental Evidence from The American Economic Review," American Economic Review, American Economic Association, vol. 81(5), pages 1041-1067, December.
    15. Martin Ruef, 2002. "Strong ties, weak ties and islands: structural and cultural predictors of organizational innovation," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(3), pages 427-449, June.
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    7. García, J.A. & Montero-Parodi, J.J. & Rodriguez-Sánchez, Rosa & Fdez-Valdivia, J., 2023. "How to motivate a reviewer with a present bias to work harder," Journal of Informetrics, Elsevier, vol. 17(4).
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