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Scholarly book publishers as publicity agents for SSH titles on Twitter

Author

Listed:
  • Yajie Wang

    (Dalian University of Technology
    University of Copenhagen)

  • Alesia Zuccala

    (University of Copenhagen)

Abstract

The purpose of this paper was to examine the presence of scholarly book publishers on Twitter, and tweets about books in 10 SSH disciplines (2014–2018). This included time of tweet relative to the book's publication date and time span of twitter activity. We also investigated the ‘categories of conversation' in publisher tweets, with a focus on hashtags and @-mentions. Data collection involved matching 15,454 unique book titles from the BKCI-Web of Science with tweets retrieved from Altmetrics.com, using ISBNs. This led to a working dataset of n = 6258 books (41%), which had received at least one tweet. Our analyses show that scholarly publishers have been using Twitter more and more over a 5 year period, especially commerical publishers. Commercial publishers are more likely than university presses to have multiple Twitter accounts. Both, though mainly commercial publishers, are active at targeting the Twitter accounts of book authors, book editors, other individuals and universities/institutions/organisations. Whilst re-tweets do not often follow first, or ‘initiator' tweets made by publishers, publisher engagement in general corresponds significantly with other tweets, and contributes to keeping the book active for a longer period on Twitter. Publishers play a key role as promotional agents, particularly when a scholarly title is part of a special offer, relevant to a conference, event or special calendar date, when an author is a prize winner, or if author-agreements have been made in regards to open access book chapters.

Suggested Citation

  • Yajie Wang & Alesia Zuccala, 2021. "Scholarly book publishers as publicity agents for SSH titles on Twitter," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 4817-4840, June.
  • Handle: RePEc:spr:scient:v:126:y:2021:i:6:d:10.1007_s11192-021-03947-6
    DOI: 10.1007/s11192-021-03947-6
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    1. Kim Holmberg & Julia Vainio, 2018. "Why do some research articles receive more online attention and higher altmetrics? Reasons for online success according to the authors," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 435-447, July.
    2. Howard D. White & Sebastian K. Boell & Hairong Yu & Mari Davis & Concepción S. Wilson & Fletcher T.H. Cole, 2009. "Libcitations: A measure for comparative assessment of book publications in the humanities and social sciences," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(6), pages 1083-1096, June.
    3. Kayvan Kousha & Mike Thelwall & Mahshid Abdoli, 2017. "Goodreads reviews to assess the wider impacts of books," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(8), pages 2004-2016, August.
    4. Kim Holmberg & Mike Thelwall, 2014. "Disciplinary differences in Twitter scholarly communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1027-1042, November.
    5. Vincent Larivière & Stefanie Haustein & Philippe Mongeon, 2015. "The Oligopoly of Academic Publishers in the Digital Era," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-15, June.
    6. Kayvan Kousha & Mike Thelwall, 2016. "Can Amazon.com reviews help to assess the wider impacts of books?," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(3), pages 566-581, March.
    7. Cassidy R. Sugimoto & Sam Work & Vincent Larivière & Stefanie Haustein, 2017. "Scholarly use of social media and altmetrics: A review of the literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2037-2062, September.
    8. Saeed-Ul Hassan & Mubashir Imran & Uzair Gillani & Naif Radi Aljohani & Timothy D. Bowman & Fereshteh Didegah, 2017. "Measuring social media activity of scientific literature: an exhaustive comparison of scopus and novel altmetrics big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1037-1057, November.
    9. Torres-Salinas, Daniel & Moed, Henk F., 2009. "Library Catalog Analysis as a tool in studies of social sciences and humanities: An exploratory study of published book titles in Economics," Journal of Informetrics, Elsevier, vol. 3(1), pages 9-26.
    10. Alesia Zuccala & Roberto Cornacchia, 2016. "Data matching, integration, and interoperability for a metric assessment of monographs," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 465-484, July.
    11. Howard D. White & Alesia A. Zuccala, 2018. "Libcitations, worldcat, cultural impact, and fame," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 69(12), pages 1502-1512, December.
    12. Gorraiz, Juan & Melero-Fuentes, David & Gumpenberger, Christian & Valderrama-Zurián, Juan-Carlos, 2016. "Availability of digital object identifiers (DOIs) in Web of Science and Scopus," Journal of Informetrics, Elsevier, vol. 10(1), pages 98-109.
    13. Jorge Mannana-Rodriguez & Elea Giménez-Toledo, 2018. "Specialization and multidisciplinarity of scholarly book publishers: differences between Spanish University Presses and other scholarly publishers," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(1), pages 19-30, January.
    14. Didegah, Fereshteh & Mejlgaard, Niels & Sørensen, Mads P., 2018. "Investigating the quality of interactions and public engagement around scientific papers on Twitter," Journal of Informetrics, Elsevier, vol. 12(3), pages 960-971.
    15. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2020. "An extensive analysis of the presence of altmetric data for Web of Science publications across subject fields and research topics," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2519-2549, September.
    16. Daniel Torres-Salinas & Nicolás Robinson-Garcia & Juan Gorraiz, 2017. "Filling the citation gap: measuring the multidimensional impact of the academic book at institutional level with PlumX," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1371-1384, December.
    17. Björn Hammarfelt, 2014. "Using altmetrics for assessing research impact in the humanities," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1419-1430, November.
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    Cited by:

    1. Zhichao Fang & Rodrigo Costas & Paul Wouters, 2022. "User engagement with scholarly tweets of scientific papers: a large-scale and cross-disciplinary analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4523-4546, August.

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