Early Career Researchers Open-Up on Citations in Respect to Reputation, Trust, Ethics, AI and Much More

IF 2.4 3区 管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE
David Nicholas, Abdullah Abrizah, David Clark, Blanca Rodríguez-Bravo, Jorge Revez, Eti Herman, Marzena Świgoń, Jie Xu, Anthony Watkinson
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Abstract

This paper, part of the Harbingers project studying early career researchers (ECRs), focuses on the impact of artificial intelligence (AI) on scholarly communications (https://ciber-research.com/harbingers-3/index.html). It investigates citations and citing, its purpose, function and use, especially in respect to reputation, trust, publishing and AI. We also cover journal impact factors, H-index, Scopus, Web of Science and Google Scholar. All of this, regarding a research community, to whom citations have special reputational and career-advancing value. This interview-based study covers a convenience sample of 91 ECRs from all disciplines and half a dozen countries. Furthermore, this study has been conducted with minimal prompting about citations, so providing a fresh feel by using the voices of ECRs wherever possible. Findings include: (1) citations are all-pervasive, although cropping up mostly in the reputational and trust arenas; (2) citations remain a major force in determining what is read, where to publish and what to trust; (3) there are no signs their value is diminishing; if anything, the opposite is true; (4) AI has given a boost to their use—primarily as a validity check; (5) there are strong signs that altmetrics are being taken up. Note, this was a preliminary study working with a convenience sample attempting to inform a future study. Our findings should therefore be treated more as early observations.

早期职业研究人员在声誉、信任、道德、人工智能等方面开放引文
本文是研究早期职业研究人员(ecr)的Harbingers项目的一部分,重点关注人工智能(AI)对学术交流的影响(https://ciber-research.com/harbingers-3/index.html)。它调查引用和引用,其目的,功能和用途,特别是在声誉,信任,出版和人工智能方面。我们还涵盖期刊影响因子、h指数、Scopus、Web of Science和谷歌Scholar。所有这一切,对于一个研究社区来说,引文具有特殊的声誉和职业发展价值。这项基于访谈的研究涵盖了来自所有学科和六个国家的91个ecr的方便样本。此外,本研究在进行时对引用的提示很少,因此尽可能使用ecr的声音提供了一种新鲜的感觉。研究发现:(1)论文被引用普遍存在,但主要出现在声誉和信任领域;(2)引文仍然是决定阅读内容、发表内容和信任内容的主要力量;(三)没有价值递减的迹象;如果有的话,事实正好相反;(4)人工智能促进了它们的使用——主要是作为有效性检查;(5)有强烈的迹象表明,替代指标正在被采用。注意,这是一项初步研究,使用方便的样本,试图为未来的研究提供信息。因此,我们的发现应该更多地被视为早期观察。
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
Learned Publishing
Learned Publishing INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
4.40
自引率
17.90%
发文量
72
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