Editorial
Copyright ©The Author(s) 2025.
World J Methodol. Sep 20, 2025; 15(3): 98795
Published online Sep 20, 2025. doi: 10.5662/wjm.v15.i3.98795
Table 4 The different mechanisms to combat “fishing reviewers” with their priority to the journals
Approach
Description
Priority
Justification
Enhance the reviewer vetting and selection processImplement rigorous vetting procedures to ensure expertise and commitmentHighPreventing unqualified reviewers at the outset can greatly reduce superficial reviews and improve review quality
Establish clear reviewer guidelines and expectationsProvide detailed guidelines and encourage appropriate rejection of review invitationsHighClear guidelines set standards from the start, leading to more consistent, reliable reviews
Monitor and evaluate reviewer performanceEstablish systems to regularly assess and track reviewer performanceHighDirectly impacts the identification and management of “fishing reviewers” by creating accountability
Encourage constructive and specific feedbackEncourage reviewers to provide specific, actionable feedback focused on manuscript improvementHighSpecific feedback significantly enhances the quality of peer review and author satisfaction
Strengthen editorial oversight and transparencyIntroduce an additional review stage and enhance transparency about review expectations and standardsMediumIncreases accountability and quality control, though it requires some editorial resources
Offer comprehensive reviewer training and resourcesDevelop training programs to educate reviewers on best practices and ethical standardsMediumTraining reinforces guidelines but may require additional resources
Implement transparent reviewer recognition policiesRecognize reviewers for quality contributions, not just quantityMediumImproves reviewer motivation, particularly for high-quality reviews
Address potential bias and discriminationImplement policies to prevent bias based on author characteristicsMediumPrevents biases that may compromise the fairness of reviews, ensuring an equitable review process
Promote responsible research evaluationAdvocate for responsible, constructive evaluation practicesLowIndirectly impacts review quality; helpful but not urgent for managing “fishing reviewers”
Leverage technology and toolsUse artificial intelligence and machine learning tools to analyze review patterns and identify superficial reviewersLowValuable for large journals, but often costly and complex for smaller journals to implement
Foster a culture of academic integrityEncourage integrity and ethics across the academic communityLowBenefits long-term review culture but has less immediate impact on preventing “fishing reviewers”
Collaborative efforts and knowledge sharingEncourage journals, societies, and researchers to share strategies for combating poor review practicesLowUseful for industry-wide improvements, though it may have a slower impact on individual journals