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Honest signaling in academic publishing

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  • Leonid Tiokhin
  • Karthik Panchanathan
  • Daniel Lakens
  • Simine Vazire
  • Thomas Morgan
  • Kevin Zollman

Abstract

Academic journals provide a key quality-control mechanism in science. Yet, information asymmetries and conflicts of interests incentivize scientists to deceive journals about the quality of their research. How can honesty be ensured, despite incentives for deception? Here, we address this question by applying the theory of honest signaling to the publication process. Our models demonstrate that several mechanisms can ensure honest journal submission, including differential benefits, differential costs, and costs to resubmitting rejected papers. Without submission costs, scientists benefit from submitting all papers to high-ranking journals, unless papers can only be submitted a limited number of times. Counterintuitively, our analysis implies that inefficiencies in academic publishing (e.g., arbitrary formatting requirements, long review times) can serve a function by disincentivizing scientists from submitting low-quality work to high-ranking journals. Our models provide simple, powerful tools for understanding how to promote honest paper submission in academic publishing.

Suggested Citation

  • Leonid Tiokhin & Karthik Panchanathan & Daniel Lakens & Simine Vazire & Thomas Morgan & Kevin Zollman, 2021. "Honest signaling in academic publishing," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-19, February.
  • Handle: RePEc:plo:pone00:0246675
    DOI: 10.1371/journal.pone.0246675
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    References listed on IDEAS

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    1. Brian C. Martinson, 2017. "Give researchers a lifetime word limit," Nature, Nature, vol. 550(7676), pages 303-303, October.
    2. Bodo M Stern & Erin K O’Shea, 2019. "A proposal for the future of scientific publishing in the life sciences," PLOS Biology, Public Library of Science, vol. 17(2), pages 1-10, February.
    3. Marcus R. Munafò & Brian A. Nosek & Dorothy V. M. Bishop & Katherine S. Button & Christopher D. Chambers & Nathalie Percie du Sert & Uri Simonsohn & Eric-Jan Wagenmakers & Jennifer J. Ware & John P. A, 2017. "A manifesto for reproducible science," Nature Human Behaviour, Nature, vol. 1(1), pages 1-9, January.
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    Cited by:

    1. Giuseppe Pernagallo, 2023. "Science in the mist: A model of asymmetric information for the research market," Metroeconomica, Wiley Blackwell, vol. 74(2), pages 390-415, May.
    2. Elena Veretennik & Maria Yudkevich, 2023. "Inconsistent quality signals: evidence from the regional journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3675-3701, June.
    3. Mantas Radzvilas & Francesco De Pretis & William Peden & Daniele Tortoli & Barbara Osimani, 2023. "Incentives for Research Effort: An Evolutionary Model of Publication Markets with Double-Blind and Open Review," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1433-1476, April.
    4. Jeppe Nicolaisen & Tove Faber Frandsen, 2022. "Epistemic community formation: a bibliometric study of recurring authors in medical journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(7), pages 4167-4189, July.

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