Staff view for The Google Scholar Experiment: how to index false papers and manipulate bibliometric indicators

cdi_arxiv_primary_1309_2413

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      - 'Google Scholar has been well received by the research community. Its promises
        of free, universal and easy access to scientific literature as well as the
        perception that it covers better than other traditional multidisciplinary
        databases the areas of the Social Sciences and the Humanities have contributed
        to the quick expansion of Google Scholar Citations and Google Scholar Metrics:
        two new bibliometric products that offer citation data at the individual level
        and at journal level. In this paper we show the results of a experiment undertaken
        to analyze Google Scholar''s capacity to detect citation counting manipulation.
        For this, six documents were uploaded to an institutional web domain authored
        by a false researcher and referencing all the publications of the members
        of the EC3 research group at the University of Granada. The detection of Google
        Scholar of these papers outburst the citations included in the Google Scholar
        Citations profiles of the authors. We discuss the effects of such outburst
        and how it could affect the future development of such products not only at
        individual level but also at journal level, especially if Google Scholar persists
        with its lack of transparency.'
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      - Robinson-Garcia, Nicolás
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        of free, universal and easy access to scientific literature as well as the
        perception that it covers better than other traditional multidisciplinary
        databases the areas of the Social Sciences and the Humanities have contributed
        to the quick expansion of Google Scholar Citations and Google Scholar Metrics:
        two new bibliometric products that offer citation data at the individual level
        and at journal level. In this paper we show the results of a experiment undertaken
        to analyze Google Scholar''s capacity to detect citation counting manipulation.
        For this, six documents were uploaded to an institutional web domain authored
        by a false researcher and referencing all the publications of the members
        of the EC3 research group at the University of Granada. The detection of Google
        Scholar of these papers outburst the citations included in the Google Scholar
        Citations profiles of the authors. We discuss the effects of such outburst
        and how it could affect the future development of such products not only at
        individual level but also at journal level, especially if Google Scholar persists
        with its lack of transparency.'
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        of free, universal and easy access to scientific literature as well as the
        perception that it covers better than other traditional multidisciplinary
        databases the areas of the Social Sciences and the Humanities have contributed
        to the quick expansion of Google Scholar Citations and Google Scholar Metrics:
        two new bibliometric products that offer citation data at the individual level
        and at journal level. In this paper we show the results of a experiment undertaken
        to analyze Google Scholar''s capacity to detect citation counting manipulation.
        For this, six documents were uploaded to an institutional web domain authored
        by a false researcher and referencing all the publications of the members
        of the EC3 research group at the University of Granada. The detection of Google
        Scholar of these papers outburst the citations included in the Google Scholar
        Citations profiles of the authors. We discuss the effects of such outburst
        and how it could affect the future development of such products not only at
        individual level but also at journal level, especially if Google Scholar persists
        with its lack of transparency.'
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