Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Use of positive terms and certainty language in retracted and non-retracted articles: The case of biochemistry
Department of Communication and Learning in Science, Chalmers University of Technology, Sweden.ORCID iD: 0000-0003-2529-962X
University of Borås, Faculty of Librarianship, Information, Education and IT.ORCID iD: 0000-0002-4166-153X
2023 (English)In: Journal of information science, ISSN 0165-5515, E-ISSN 1741-6485, article id 016555152311766Article in journal (Refereed) Published
Abstract [en]

This study aimed to compare retracted (due to misconduct) and non-retracted articles in biochemistry, in terms of proportion of positive terms, certainty score and different certainty aspects. The data set of this study composed of 662 retracted and non-retracted articles published in the time period of 2018-2020 and indexed in Scopus. These 662 articles accounted for 331 non-retracted and 331 retracted articles, which were matched using matching and covariate balancing analysis. The analysis in this article was done using several regression models. Regarding the use of positive terms, the findings showed that retracted articles were 16% less probable to use positive terms in abstracts, titles and findings presented in conclusion and discussion compared with non-retracted articles. In addition, the results regarding the analysis of certainty language, showed that retracted articles were 15% less probable to use certain language, measured by certainty score, in presenting their scientific findings. Finally, regarding the certainty aspects, the results of regression models showed that retracted articles had 11% less likelihood to present their research findings using certain probability aspect.

Place, publisher, year, edition, pages
2023. article id 016555152311766
National Category
Information Studies
Research subject
Library and Information Science
Identifiers
URN: urn:nbn:se:hb:diva-29949DOI: 10.1177/01655515231176650ISI: 001001662300001Scopus ID: 2-s2.0-85162970272OAI: oai:DiVA.org:hb-29949DiVA, id: diva2:1771987
Available from: 2023-06-21 Created: 2023-06-21 Last updated: 2024-02-01Bibliographically approved

Open Access in DiVA

fulltext(676 kB)79 downloads
File information
File name FULLTEXT01.pdfFile size 676 kBChecksum SHA-512
b36fd085143aa27e0376a57d9827fdb12dc8eaa81a582af8c34e5f1ef5cffa6c763ddd317ab518836e1ba4dc76e70eac9633a341287196240bb542418ae9d6de
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Schirone, Marco

Search in DiVA

By author/editor
Dehdarirad, TaherehSchirone, Marco
By organisation
Faculty of Librarianship, Information, Education and IT
In the same journal
Journal of information science
Information Studies

Search outside of DiVA

GoogleGoogle Scholar
Total: 79 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 72 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf