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              <creatorName>Gray, Andrew</creatorName>
              <givenName>Andrew</givenName>
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          <titles>
            <title><![CDATA[Bibliometric methods for identifying AI-assisted papers]]></title>
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          <subjects>
            <subject>Library studies</subject>
            <subject>scholarly communications</subject>
            <subject>scholarly publishing</subject>
            <subject>chatgpt</subject>
            <subject>Large Language Models (LLM)</subject>
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            <date dateType="Created">2024-09-19</date>
            <date dateType="Updated">2024-09-19</date>
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          <publisher>University College London</publisher>
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            <description descriptionType="Abstract"><![CDATA[<p dir="ltr">Presentation given to the LIS-Bibliometrics conference, September 2024. </p><p dir="ltr"><b>Abstract: </b>AI-generated text is increasingly common in scholarly publications, with the community divided on how best to handle this issue. This presentation will look at various bibliometric methods which can currently be used to identify AI-generated or AI-assisted papers, and review some of the estimates for its prevalence in recent years. It will discuss how effective detection might be, and what the rise in AI-assisted text might mean for scholarly communications in future.</p>]]></description>
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