The Google Scholar Experiment: How to Index False Papers and Manipulate Bibliometric Indicators
The Google Scholar Experiment: How to Index False Papers and Manipulate Bibliometric Indicators
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DOI：
10.1002/asi.23056
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发表时间：
2014-03-01
影响因子：
3.5
通讯作者：
Torres-Salinas, Daniel
中科院分区：
文献类型：
--
作者：
Delgado Lopez-Cozar, Emilio;Robinson-Garcia, Nicolas;Torres-Salinas, Daniel
谷歌学术受到研究界的好评。它承诺免费、普遍和轻松地获取科学文献，再加上它比其他传统多学科数据库更好地涵盖社会科学和人文学科，这促成了 Google Scholar Citations 和 Google Scholar Metrics 的快速扩展：这两种新的文献计量产品提供个人层面和期刊层面的引文数据。在本文中，我们展示了一项实验的结果，该实验旨在分析 Google Scholar 检测引用计数操纵的能力。为此，我们将 6 个文档上传到一个机构网站域，这些文档由一位虚构的研究人员撰写，并引用了格拉纳达大学 EC3 研究小组成员的所有出版物。 Google Scholar 对这些论文的检测导致 Google Scholar 引文资料中作者的引用数量激增。我们讨论了这种爆发的影响，以及它如何影响此类产品的未来发展，无论是在个人层面还是期刊层面，特别是如果谷歌学术继续缺乏透明度的话。
Google Scholar has been well received by the research community. Its promises of free, universal, and easy access to scientific literature coupled with the perception that it covers the social sciences and the humanities better than other traditional multidisciplinary databases have contributed to the quick expansion of Google Scholar Citations and Google Scholar Metrics: 2 new bibliometric products that offer citation data at the individual level and at journal level. In this article, we show the results of an experiment undertaken to analyze Google Scholar's capacity to detect citation-counting manipulation. For this, we uploaded 6 documents to an institutional web domain that were authored by a fictitious researcher and referenced all the publications of the members of the EC3 research group at the University of Granada. The detection by Google Scholar of these papers caused an outburst in the number of citations included in the Google Scholar Citations profiles of the authors. We discuss the effects of such an outburst and how it could affect the future development of such products, at both the individual level and the journal level, especially if Google Scholar persists with its lack of transparency.