Predatory Publishing: An Industry that Is Threatening Science

Revés, Joana; Silva, Bernardo Marques da; Durão, José; Ribeiro, Nuno Vouga; Lemos, S de; Escada, Pedro

doi:10.20344/amp.9810

Cited by 10 publications

(4 citation statements)

References 5 publications

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“…For example, in 2017, Polit and Beck explained predatory journals as ''[those who] charge publication fees without conducting adequate reviews and editorial services'' [23]. In 2018, Reves et al defined predatory publishing as ''an opportunistic exploitation of inexperienced researchers pressured to publish or perish'' [24]. Therefore, some researchers refer to predatory publishing as ''pay-to-publish.''…”

Section: Literature Reviewmentioning

confidence: 99%

Intelligent Framework for Detecting Predatory Publishing Venues

Ateeq

Al‐Khalifa

2023

IEEE Access

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Predatory publishing venues publish questionable articles and pose a global threat to the integrity and quality of the scientific literature. They have given rise to the dark side of scholarly publishing and their effects have reached political, societal, economic, and health aspects. Given their consequences and proliferation, several solutions have been developed to help detect them; however, these solutions are manual and time-consuming. While researchers, students, and readers are in need of a tool that automatically detects predatory venues and their violations, in this study, we proposed an intelligent framework that can automatically detect predatory venues and their violations using different artificial intelligence techniques. This work contributes through the following: (1) creating a dataset of 9,866 journals annotated as predatory and legitimate, and (2) proposing an intelligent framework for classifying a venue as legitimate or predatory, with appropriate reasoning. Our framework was evaluated using seven different machine learning and deep learning models, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Neural Networks (NNs), Long short-term memory (LSTM), Convolutional Neural Network (CNN), Bidirectional Encoders from Transformers (BERT), A Lite BERT (ALBERT), and different feature representation techniques. The results showed that the CNN model outperformed the other models in journal classification task, with an F1 score of 0.96. For appropriate reasoning of the provisioning task, the SVM model achieved the best micro F1 of 0.67.

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Section: Literature Reviewmentioning

confidence: 99%

Intelligent Framework for Detecting Predatory Publishing Venues

Ateeq

Al‐Khalifa

2023

IEEE Access

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“…Reves et al (2018) explained “predatory publishing as an opportunistic exploitation of inexperienced researchers pressured to publish or perish” (p. 142). Jeffrey Beall, a librarian at the University of Colorado, Denver, first coined the term “predatory publishing” for the purpose of identifying questionable or illegitimate journals suspected of unethical publishing practices (Beall, 2015).…”

Section: What Is Predatory Publishing?mentioning

confidence: 99%

Understanding Quality in Research: Avoiding Predatory Journals

Strong

2019

J Hum Lact

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Peer-review publishing has long been the gold standard for disseminating research. The peer-review process holds researchers accountable for their work and conveys confidence that the article is of value to the reader. Predatory journals and publishing pose a global threat to the quality of scientific literature, accuracy of educational resources, and safety of patient care. Predatory publishing uses an exploitative business model, substandard quality control measures, and deceptive publishing practices. Given the proliferation of these journals and the extreme measures utilized to disguise substandard publishing practices, avoiding them can prove difficult. Understanding the nature of predatory publishing and how to recognize the warning signs provide helpful measures to authors, researchers, students, and readers. Additional resources known to help avoid predatory publishers have been discussed in addition to reviewing the Journal of Human Lactation guidelines for publishing.

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“…Furthermore, publishing articles without peer-review process as quality control provides questionable science with false merit [ 5 , 7 ]. It is generally assumed, that this dubious practice threatens especially young academics who are in need to publish and not perish in the academic arena [ 8 ]. In the orthopaedic field, data about the awareness of predatory journals is missing.…”

Section: Introductionmentioning

confidence: 99%

Awareness of predatory journals and open access publishing among orthopaedic and trauma surgeons – results from an online survey in Germany

Wintermeyer

Walter

Histing

et al. 2021

BMC Musculoskelet Disord

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Background Along with emerging open access journals (OAJ) predatory journals increasingly appear. As they harm accurate and good scientific research, we aimed to examine the awareness of predatory journals and open access publishing among orthopaedic and trauma surgeons. Methods In an online survey between August and December 2019 the knowledge on predatory journals and OAJ was tested with a hyperlink made available to the participants via the German Society for Orthopaedics and Trauma Surgery (DGOU) email distributor. Results Three hundred fifty orthopaedic and trauma surgeons participated, of which 291 complete responses (231 males (79.4%), 54 females (18.6%) and 5 N/A (2.0%)) were obtained. 39.9% were aware of predatory journals. However, 21.0% knew about the “Directory of Open Access Journals” (DOAJ) as a register for non-predatory open access journals. The level of profession (e.g. clinic director, consultant) (p = 0.018) influenced the awareness of predatory journals. Interestingly, participants aware of predatory journals had more often been listed as corresponding authors (p < 0.001) and were well published as first or last author (p < 0.001). Awareness of OAJ was masked when journal selection options did not to provide any information on the editorial board, the peer review process or the publication costs. Conclusion The impending hazard of predatory journals is unknown to many orthopaedic and trauma surgeons. Early stage clinical researchers must be trained to differentiate between predatory and scientifically accurate journals.

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Predatory Publishing: An Industry that Is Threatening Science

Abstract: N/A.

Cited by 10 publications

References 5 publications

Intelligent Framework for Detecting Predatory Publishing Venues

Intelligent Framework for Detecting Predatory Publishing Venues

Understanding Quality in Research: Avoiding Predatory Journals

Awareness of predatory journals and open access publishing among orthopaedic and trauma surgeons – results from an online survey in Germany

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