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      "Blacklists" and "whitelists" to tackle predatory publishing : A cross-sectional comparison and thematic analysis

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          Abstract

          Background. Despite growing awareness of predatory publishing and research on its market characteristics, the defining attributes of fraudulent journals remain controversial. We aimed to develop a better understanding of quality criteria for scholarly journals by analysing journals and publishers indexed in blacklists of predatory journals and whitelists of legitimate journals and the lists’ inclusion criteria. Methods. We searched for blacklists and whitelists in early 2018. Lists that included journals across disciplines were eligible. We used a mixed methods approach, combining quantitative and qualitative analyses. To quantify overlaps between lists in terms of indexed journals and publishers we employed the Jaro-Winkler string metric and Venn diagrams. To identify topics addressed by the lists’ inclusion criteria and to derive their broader conceptual categories, we used a qualitative coding approach. Results. Two blacklists (Beall’s and Cabell’s) and two whitelists (DOAJ and Cabell’s) were eligible. The number of journals per list ranged from 1404 to 12357 and the number of publishers from 473 to 5638. Seventy-three journals and 42 publishers were included both in a blacklist and whitelist. A total of 198 inclusion criteria were examined. Seven thematic themes were identified: (i) peer review, (ii) editorial services, (iii) policy, (iv) business practices, (v) publishing, archiving and access, (vi) website and (vii) indexing and metrics. Business practices accounted for almost half of blacklists’ criteria, whereas whitelists gave more emphasis to criteria related to policy and guidelines. Criteria were grouped into four broad concepts: (i) transparency, (ii) ethics, (iii) professional standards and (iv) peer review and other services. Whitelists gave more weight to transparency whereas blacklists focused on ethics and professional standards. The criteria included in whitelists were easier to verify than those used in blacklists. Both types of list gave relatively little emphasis to the quality of peer review. Conclusions. There is overlap between journals and publishers included in blacklists and whitelists. Blacklists and whitelists differ in their criteria for quality and the weight given to different dimensions of quality. Aspects that are central but difficult to verify receive insufficient attention.

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          Potential predatory and legitimate biomedical journals: can you tell the difference? A cross-sectional comparison

          Background The Internet has transformed scholarly publishing, most notably, by the introduction of open access publishing. Recently, there has been a rise of online journals characterized as ‘predatory’, which actively solicit manuscripts and charge publications fees without providing robust peer review and editorial services. We carried out a cross-sectional comparison of characteristics of potential predatory, legitimate open access, and legitimate subscription-based biomedical journals. Methods On July 10, 2014, scholarly journals from each of the following groups were identified – potential predatory journals (source: Beall’s List), presumed legitimate, fully open access journals (source: PubMed Central), and presumed legitimate subscription-based (including hybrid) journals (source: Abridged Index Medicus). MEDLINE journal inclusion criteria were used to screen and identify biomedical journals from within the potential predatory journals group. One hundred journals from each group were randomly selected. Journal characteristics (e.g., website integrity, look and feel, editors and staff, editorial/peer review process, instructions to authors, publication model, copyright and licensing, journal location, and contact) were collected by one assessor and verified by a second. Summary statistics were calculated. Results Ninety-three predatory journals, 99 open access, and 100 subscription-based journals were analyzed; exclusions were due to website unavailability. Many more predatory journals’ homepages contained spelling errors (61/93, 66%) and distorted or potentially unauthorized images (59/93, 63%) compared to open access journals (6/99, 6% and 5/99, 5%, respectively) and subscription-based journals (3/100, 3% and 1/100, 1%, respectively). Thirty-one (33%) predatory journals promoted a bogus impact metric – the Index Copernicus Value – versus three (3%) open access journals and no subscription-based journals. Nearly three quarters (n = 66, 73%) of predatory journals had editors or editorial board members whose affiliation with the journal was unverified versus two (2%) open access journals and one (1%) subscription-based journal in which this was the case. Predatory journals charge a considerably smaller publication fee (median $100 USD, IQR $63–$150) than open access journals ($1865 USD, IQR $800–$2205) and subscription-based hybrid journals ($3000 USD, IQR $2500–$3000). Conclusions We identified 13 evidence-based characteristics by which predatory journals may potentially be distinguished from presumed legitimate journals. These may be useful for authors who are assessing journals for possible submission or for others, such as universities evaluating candidates’ publications as part of the hiring process.
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            Predatory journals recruit fake editor

            An investigation finds that dozens of academic titles offered 'Dr Fraud' — a sham, unqualified scientist — a place on their editorial board. Katarzyna Pisanski and colleagues report.
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              Effect of open peer review on quality of reviews and on reviewers' recommendations: a randomised trial

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                Author and article information

                Journal
                PeerJ
                February 13 2019
                Affiliations
                [1 ]Swiss National Science Foundation, Bern, Switzerland
                [2 ]Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
                Article
                10.7287/peerj.preprints.27532v1
                6646738c-57a2-44f6-9ec3-ab877009b774
                © 2019

                http://creativecommons.org/licenses/by/4.0/

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