在撤回和未撤回的文章中使用肯定术语和确定性语言:以生物化学为例

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
T. Dehdarirad, M. Schirone
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引用次数: 0

摘要

本研究旨在比较生物化学领域因学术不端行为而被撤稿和未被撤稿的文章,从积极术语的比例、确定性评分和不同确定性方面进行比较。本研究的数据集由2018-2020年期间发表的662篇被撤回和未被撤回的文章组成,并在Scopus中检索。这662篇文章中,有331篇未撤稿,331篇撤稿,采用匹配和协变量平衡分析进行匹配。本文中的分析是使用几个回归模型完成的。关于积极术语的使用,研究结果表明,与未撤回的文章相比,撤回的文章在摘要、标题和结论和讨论中使用积极术语的可能性要低16%。此外,关于确定性语言的分析结果表明,被撤回的文章在展示其科学发现时使用特定语言的可能性降低了15%(以确定性分数衡量)。最后,关于确定性方面,回归模型的结果显示,撤稿文章使用某种概率方面呈现其研究成果的可能性降低了11%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of positive terms and certainty language in retracted and non-retracted articles: The case of biochemistry
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.
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来源期刊
Journal of Information Science
Journal of Information Science 工程技术-计算机:信息系统
CiteScore
6.80
自引率
8.30%
发文量
121
审稿时长
4 months
期刊介绍: The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.
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