Academic Search Engine Spam and Google Scholar's Resilience Against it - 0 views
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IMT122 Reading List Supplementary Reading Week 04 Google Search Topic 04 IMT122 How Google works
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Web-based academic search engines such as CiteSeer(X), Google Scholar, Microsoft Academic Search and SciPlore have introduced a new era of search for academic articles.
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With classic digital libraries, researchers have no influence on getting their articles indexed. They either have published in a publication indexed by a digital library, and then their article is available in that digital library, or they have not
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citation counts obtained from Google Scholar are sometimes used to evaluate the impact of articles and their authors.
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Citation counts are commonly used to evaluate the impact and performance of researchers and their articles.
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Nowadays, citation counts from Web-based academic search engines are also used for impact evaluations.
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Most academic search engines offer features such as showing articles cited by an article, or showing related articles to a given article. Citation spam could bring more articles from manipulating researchers onto more of these lists.
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It is apparent that a citation from a PowerPoint presentation or thesis proposal has less value than a citation in a peer reviewed academic article. However, Google does not distinguish on its website between these different origins of citations[8].
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Google Scholar indexes Wikipedia articles when the article is available as PDF on a third party website.
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That means, again, that not all citations on Google Scholar are what we call ‘full-value’ citations.
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As long as Google Scholar applies only very rudimentary or no mechanisms to detect and prevent spam, citation counts should be used with care to evaluate articles’ and researchers’ impact.
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However, Google Scholar is a Web-based academic search engine and as with all Web-based search engines, the linked content should not be trusted blindly.