Predatory Open Access Journals are Indexed in Reputable Databases: a Revisiting Issue or an Unsolved Problem

Duc, Nguyen Minh; Hiep, Dang Vinh; Thong, Pham Minh; Žunić, Lejla; Zildžić, Muharem; Donev, Doncho; Janković, Slobodan M.; Hozo, Izet; Mašić, Izet

doi:10.5455/medarh.2020.74.318-322

Cited by 46 publications

(25 citation statements)

References 28 publications

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“…Digitalization, particularly the OA model, has also been accused of bringing more predatory players who do not follow good publication practices. Duc et al [50] warned of the penetration of predatory journals even in popular databases like Web of Science, Scopus, and PubMed.…”

Section: Target Journal Selectionmentioning

confidence: 99%

Artificial intelligence-assisted tools for redefining the communication landscape of the scholarly world

Razack¹,

Mathew²,

Saad³

et al. 2021

Sci Ed

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The flood of research output and increasing demands for peer reviewers have necessitated the intervention of artificial intelligence (AI) in scholarly publishing. Although human input is seen as essential for writing publications, the contribution of AI slowly and steadily moves ahead. AI may redefine the role of science communication experts in the future and transform the scholarly publishing industry into a technology-driven one. It can prospectively improve the quality of publishable content and identify errors in published content. In this article, we review various AI and other associated tools currently in use or development for a range of publishing obligations and functions that have brought about or can soon leverage much-demanded advances in scholarly communications. Several AI-assisted tools, with diverse scope and scale, have emerged in the scholarly market. AI algorithms develop summaries of scientific publications and convert them into plain-language texts, press statements, and news stories. Retrieval of accurate and sufficient information is prominent in evidence-based science publications. Semantic tools may empower transparent and proficient data extraction tactics. From detecting simple plagiarism errors to predicting the projected citation impact of an unpublished article, AI's role in scholarly publishing is expected to be multidimensional. AI, natural language processing, and machine learning in scholarly publishing have arrived for writers, editors, authors, and publishers. They should leverage these technologies to enable the fast and accurate dissemination of scientific information to contribute to the betterment of humankind.

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Section: Target Journal Selectionmentioning

confidence: 99%

Artificial intelligence-assisted tools for redefining the communication landscape of the scholarly world

Razack¹,

Mathew²,

Saad³

et al. 2021

Sci Ed

View full text Add to dashboard Cite

show abstract

“…For academics in developing countries, the percentages are likely to be even higher for various reasons such as social identity threat, a perception that their research would not qualify for more prestigious, genuine journals and most prominently, the pressure to either 'publish or perish' (15)(16)(17)(18)(19). An attractive feature of some predatory journals is the fact that they can be indexed in reputable databases and even acquire an impact factor (20)(21)(22). Although recent analyses suggest that articles in predatory journals are in general poorly cited, ranging from 2.25 to 10 citations per article and therefore have little impact in a field, these articles could nonetheless influence those considered as non-experts (23)(24)(25)(26).…”

Section: Prevalence and Degradative Consequences Of Predatory Publishingmentioning

confidence: 99%

Wilfully submitting to and publishing in predatory journals - a covert form of research misconduct?

Yeo-Teh¹,

Tang²

2021

Biochem. med. (Online)

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A predatory journal could be provisionally defined as one masquerading as a genuine academic publication but offer little, if any, rigorous peer review. Predatory journals or publishers place a focus on maximising financial profit, as opposed to regulated dissemination of scientific advancements. As a result, authors can often get their work published in such journals with little scrutiny on quality. Although generally warned against and discouraged, universally practiced sanctions against researchers’ submission to and publication in predatory journals are not common. Predatory publishing thus remains prevalent, particularly in places where academic success is measured by the quantity rather than quality of publication output, which feeds the journal’s business model that thrives upon significant market demand. However, such an undesirable enterprise has the potential to flood the scientific literature with unsound research that could be misleadingly perceived as authoritative. This may result in or add to the confusion of policy makers and the layperson, consequentially bringing disrepute to science and all parties involved. Here, we argue that wilfully submitting one’s manuscript to a predatory journal may constitute an active act of avoidance of rigorous peer review of one’s work. If such is the intention, it would be a questionable research practice and could be considered an, albeit covert, form of scientific misconduct. If labelled as such, and with institutional and funding rules erected to discourage the practice, predatory publishing could be effectively put out of business through diminishing the consumer demand.

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“…However, the predatory approach involves a conflict of interest that has the potential to threaten academic publishing's reputation. Predatory journals employ many strategies and techniques to prove themselves respectable and draw the interest of young naive researchers or who would like to publish too quickly to achieve promotion (Duc, Thong & Masic, 2020;Duc, Khoa & Thong, 2020;. The main aim of Predators is to make money from author payments.…”

Section: Introductionmentioning

confidence: 99%

The Game: Predatory Journal vs. Scopus

HOSSAN¹

2021

Preprint

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The aim of this study is to identify the features of fraudulent journals. Fraudulent journals wasted valuable manuscripts when scholars and authors publish their works in this kind of journal. Fraud journals publish the articles without reviewing the process with a high rate of fee. Purposive sampling technique and document analysis method have been used to conduct this research. One Scopus indexed journal has been selected for reviewing their articles and investigating the publication process. Based on the discussion of this study, the researcher found some characteristics of predatory/fraud/ journals that will help the scholars to avoid publishing fake journals.

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Predatory Open Access Journals are Indexed in Reputable Databases: a Revisiting Issue or an Unsolved Problem

Cited by 46 publications

References 28 publications

Artificial intelligence-assisted tools for redefining the communication landscape of the scholarly world

Artificial intelligence-assisted tools for redefining the communication landscape of the scholarly world

Wilfully submitting to and publishing in predatory journals - a covert form of research misconduct?

The Game: Predatory Journal vs. Scopus

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