PDF

The dynamics of cognitive bias in peer-reviewed academic publishing

G. P. V. B., A. R. C.

2023encognitive biaspeer reviewacademic publishingscholarshipresearch methodology

Abstract

Language:

In the evolving landscape of academic publishing, understanding cognitive biases that influence peer review processes is crucial. This study aims to identify and analyze various cognitive biases present in peer-reviewed publications and their impact on the objectivity and integrity of academic scholarship. A mixed-method research design was implemented, combining quantitative surveys of peer reviewers and qualitative interviews with editors from diverse disciplines. The results reveal a significant prevalence of cognitive biases such as confirmation bias, availability heuristic, and anchoring bias in the evaluation process. These biases not only affect the quality of the reviews but also contribute to the perpetuation of certain theoretical frameworks while overshadowing alternative perspectives. Furthermore, the findings indicate that awareness of these biases among reviewers correlates with improved review quality and outcomes. Recommendations for training interventions to mitigate cognitive biases in peer review are discussed, alongside the potential implications for future scholarly discourse and research integrity. This study underscores the importance of recognizing and addressing cognitive influences that can compromise the peer review process and calls for systemic changes to enhance transparency in academic publishing.

Download

Cite This Work

@article{079b2b8a-d0ee-47ed-a2f4-eea6ecb1234b,
  title={The dynamics of cognitive bias in peer-reviewed academic publishing},
  author={G. P. V. B. and A. R. C.},
  year={2023},
  language={en}
}
TY  - JOUR
TI  - The dynamics of cognitive bias in peer-reviewed academic publishing
AU  - G. P. V. B.
AU  - A. R. C.
PY  - 2023
LA  - en
ER  -

Similar Items

Metal Casting Processes

Unknown, Unknown

This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu

2023enPDF

Artificial intelligence-aided materials design: AI-algorithms and case studies on alloys and metallurgical processes

Rajesh Jha, Bimal Kumar Jha

This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t

2022enPDF

Process Engineering and Plant Design

Siddhartha Mukherjee

This book provides a comprehensive overview of the critical aspects of industrial process engineering and plant design, addressing the complexities an

2022enPDF

The Nature of Solid Iron and Its Grain Structure

Unknown, Unknown

This study focuses on the fundamental characteristics of solid iron, which is predominantly composed of iron atoms and provides a basis for understand

2023enPDF

842063941 SX configuration

2026enPDF

758686865 Procedes metallurgique speciaux

Ir. Méshac KIME ILUNGA

Ce document traite des procédés métallurgiques spéciaux, en mettant particulièrement l'accent sur l'extraction liquide-liquide, un processus mis au po

2026enPDF