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Are papers published in predatory journals worthless? A geopolitical dimension revealed by content-based analysis of citations

Bibliographic Data

ID21255865
AuthorsZehra Taşkın (0000-0001-7102-493X, Adam Mickiewicz University in Poznań), Flávio Krawczyk (0000-0003-1097-9032, Adam Mickiewicz University in Poznań), Emanuel Kulczycki (0000-0001-6530-3609, Adam Mickiewicz University in Poznań)
Year2023
Volume4
Issue1
Pages44-67
Publication date2023-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueQuantitative Science Studies (JOURNAL)
Journal identifiersISSN: 2641-3337 • E-ISSN: 2641-3337
PublisherMIT Press (PUBLISHER • US)
DOI10.1162/qss_a_00242
OpenAlexW4319074078
LanguageEN
Citations received4
References cited39

This study uses content-based citation analysis to move beyond the simplified classification of predatory journals. We present that, when we analyze papers not only in terms of the quantity of their citations but also the content of these citations, we are able to show the various roles played by papers published in journals accused of being predatory. To accomplish this, we analyzed the content of 9,995 citances (i.e., citation sentences) from 6,706 papers indexed in the Web of Science Core Collection, which cites papers published in so-called “predatory” (or questionable) journals. The analysis revealed that the vast majority of such citances are neutral (97.3%), and negative citations of articles published in the analyzed journals are almost completely nonexistent (0.8%). Moreover, the analysis revealed that the most frequently mentioned countries in the citances are India, Pakistan, and Iran, with mentions of Western countries being rare. This highlights a geopolitical bias and shows the usefulness of looking at such journals as mislocated centers of scholarly communication. The analyzed journals provide regional data prevalent for mainstream scholarly discussions, and the idea of predatory publishing hides geopolitical inequalities in global scholarly publishing. Our findings also contribute to the further development of content-based citation analysis

Biology · Citation · Citation analysis · Citation impact · CITES · Content analysis · Geopolitics · Library science · Mainstream · MEDLINE · Open access publishing · Political science · Politics · Publishing · Social science · Sociology · Web of science · Computer Science · Law · Mathematics · scientometrics and bibliometrics research · Ecology

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Unique citing works4
Citations per year1,33
Citation span2023 - 2025 (3)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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Open DOIOpen Access
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