How do authors perceive the way their work is cited? Findings from a large-scale survey on quotation accuracy

IF 4.3 2区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Simon Wakeling, Monica Lestari Paramita, Stephen Pinfield
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引用次数: 0

Abstract

It has long been recognized that there are issues with the appropriateness of citations in the academic literature. Citations of sources that do not support the statement they are cited against are known as quotation errors, and there have been many previous studies of their prevalence. The vast majority of these studies rely on researchers evaluating the accuracy of citations in a small sample of the literature, and show large variation in quotation error rates. In this article we report a novel approach to assessing quotation accuracy via an online survey in which 2648 corresponding authors of articles evaluated a real-world citation of their work. Respondents were also asked to categorize the perceived purpose of the citation, and what action, if any, they take when encountering inaccurate citations of their work. We found a quotation error rate of 16.6%, with no significant difference across academic disciplines, suggesting that variation in previous studies may be a result of methodological differences. Only 11.3% of respondents indicated they had taken action after encountering an inaccurate citation of their work. This work reveals reasons contributing to inaccurate quotations and issues with citation practices, and offers suggestions of areas for future research.

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作者如何看待他们的作品被引用的方式?一项关于报价准确性的大规模调查结果
人们早就认识到,学术文献中引文的适当性存在问题。引用不支持他们所引用的声明的来源被称为引用错误,之前有许多关于其普遍性的研究。这些研究绝大多数依赖于研究人员对一小部分文献样本中引文的准确性进行评估,并显示出引文错误率的巨大差异。在本文中,我们报告了一种通过在线调查评估引文准确性的新方法,其中2648篇文章的通讯作者评估了他们工作的真实引用。受访者还被要求对引用的感知目的进行分类,以及当遇到对其工作的不准确引用时,他们会采取什么行动。我们发现引文错误率为16.6%,不同学科之间没有显著差异,这表明以往研究的差异可能是方法差异的结果。只有11.3%的受访者表示,他们在遇到不准确的引用后采取了行动。本文揭示了导致引文不准确的原因和引文实践中存在的问题,并对今后的研究提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.30
自引率
8.60%
发文量
115
期刊介绍: The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes. The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.
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