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Library and Information Science Papers Discussed on Twitter: A new Network-based Approach for Measuring Public Attention

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Journal of Data and Information Science 2020年第3期5卷 5-17页

作者： Robin Haunschild Loet Leydesdorff lutz bommann Max Planck Institute for Solid State Research Heisenbergstr.170569 StuttgartGermany Amsterdam School of Communication Research(ASCoR) University of AmsterdamPB 157931001 NG AmsterdamThe Netherlands Administrative Headquarters of the Max Planck Society Division for Science and Innovation StudiesHofgartenstr.880539 MunichGermany

Purpose: In recent years, one can witness a trend in research evaluation to measure the impact on society or attention to research by society(beyond science). We address the following question: can Twitter be meaningfully used for the mapping of public and scientific discourses?Design/methodology/approach: Recently, Haunschild et al.(2019) introduced a new network-oriented approach for using Twitter data in research evaluation. Such a procedure can be used to measure the public discussion around a specific field or topic. In this study, we used all papers published in the Web of Science(WoS, Clarivate Analytics) subject category Information Science & Library Science to explore the publicly discussed topics from the area of library and information science(LIS) in comparison to the topics used by scholars in their publications in this ***: The results show that LIS papers are represented rather well on Twitter. Similar topics appear in the networks of author keywords of all LIS papers, not tweeted LIS papers, and tweeted LIS papers. The networks of the author keywords of all LIS papers and not tweeted LIS papers are most similar to each *** limitations: Only papers published since 2011 with DOI were *** implications: Although Twitter data do not seem to be useful for quantitative research evaluation, it seems that Twitter data can be used in a more qualitative way for mapping of public and scientific ***/value: This study explores a rather new methodology for comparing public and scientific discourses.

关键词： Altmetrics Twitter News Hashtags Author keywords

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