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  1. Impact of peer review on discussion of study limitations and strength of claims in randomized trial reports: a before and after study.Gerben ter Riet, Halil Kilicoglu & Kerem Keserlioglu - 2019 - Research Integrity and Peer Review 4 (1).
    BackgroundIn their research reports, scientists are expected to discuss limitations that their studies have. Previous research showed that often, such discussion is absent. Also, many journals emphasize the importance of avoiding overstatement of claims. We wanted to see to what extent editorial handling and peer review affects self-acknowledgment of limitations and hedging of claims.MethodsUsing software that automatically detects limitation-acknowledging sentences and calculates the level of hedging in sentences, we compared the submitted manuscripts and their ultimate publications of all randomized trials (...)
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  • Editors Should Declare Conflicts of Interest.Charles T. Mehlman, Radha Holla Bhar, Judit Dobránszki & Jaime A. Teixeira da Silva - 2019 - Journal of Bioethical Inquiry 16 (2):279-298.
    Editors have increasing pressure as scholarly publishing tries to shore up trust and reassure academics and the public that traditional peer review is robust, fail-safe, and corrective. Hidden conflicts of interest (COIs) may skew the fairness of the publishing process because they could allow the status of personal or professional relationships to positively influence the outcome of peer review or reduce the processing period of this process. Not all authors have such privileged relationships. In academic journals, editors usually have very (...)
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  • Epistemic Diversity and Editor Decisions: A Statistical Matthew Effect.Remco Heesen & Jan-Willem Romeijn - 2019 - Philosophers' Imprint 19.
    This paper offers a new angle on the common idea that the process of science does not support epistemic diversity. Under minimal assumptions on the nature of journal editing, we prove that editorial procedures, even when impartial in themselves, disadvantage less prominent research programs. This purely statistical bias in article selection further skews existing differences in the success rate and hence attractiveness of research programs, and exacerbates the reputation difference between the programs. After a discussion of the modeling assumptions, the (...)
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  • Bias in Peer Review.Carole J. Lee, Cassidy R. Sugimoto, Guo Zhang & Blaise Cronin - 2013 - Journal of the American Society for Information Science and Technology 64 (1):2-17.
    Research on bias in peer review examines scholarly communication and funding processes to assess the epistemic and social legitimacy of the mechanisms by which knowledge communities vet and self-regulate their work. Despite vocal concerns, a closer look at the empirical and methodological limitations of research on bias raises questions about the existence and extent of many hypothesized forms of bias. In addition, the notion of bias is predicated on an implicit ideal that, once articulated, raises questions about the normative implications (...)
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  • Promote Scientific Integrity via Journal Peer Review Data.Carole J. Lee - 2017 - Science 357 (6348):256-257.
    There is an increasing push by journals to ensure that data and products related to published papers are shared as part of a cultural move to promote transparency, reproducibility, and trust in the scientific literature. Yet few journals commit to evaluating their effectiveness in implementing reporting standards aimed at meeting those goals (1, 2). Similarly, though the vast majority of journals endorse peer review as an approach to ensure trust in the literature, few make their peer review data available to (...)
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