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‘To tweet or not to tweet?’ A study of the use of Twitter by scholarly book publishers in Social Sciences and Humanities

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  • Wang, Yajie
  • Hou, Haiyan
  • Hu, Zhigang

Abstract

Publishers might believe the use of Twitter will help promote their scholarly books. In this study, we analyzed 18,691 books indexed by the Book Citation Index (BKCI) in the Social Sciences and Humanities, published between 2014 and 2018, and proposed two indicators describing the Twitter engagement of publishers: relative coverage and relative receptivity. The results show significant disciplinary and year differences in publishers’ Twitter engagement For instance, in all 10 disciplines, small and medium-sized publishers generally prefer to promote their books (high relative coverage) on Twitter, but the majority of publishers have low relative coverage in these 5 years. In addition, results show that books mentioned by their publishers’ Twitter accounts get significantly higher Twitter mentions (high relative receptivity) as compared to books mentioned by non-publisher’ Twitter accounts. The results suggest that scholarly book publishers should engage in social media activity to increase Twitter mentions and visibility of their books.

Suggested Citation

  • Wang, Yajie & Hou, Haiyan & Hu, Zhigang, 2021. "‘To tweet or not to tweet?’ A study of the use of Twitter by scholarly book publishers in Social Sciences and Humanities," Journal of Informetrics, Elsevier, vol. 15(3).
  • Handle: RePEc:eee:infome:v:15:y:2021:i:3:s1751157721000419
    DOI: 10.1016/j.joi.2021.101170
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    References listed on IDEAS

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    1. 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.
    2. Pardeep Sud & Mike Thelwall, 2014. "Evaluating altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1131-1143, February.
    3. 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.
    4. Thor, Andreas & Marx, Werner & Leydesdorff, Loet & Bornmann, Lutz, 2016. "Introducing CitedReferencesExplorer (CRExplorer): A program for reference publication year spectroscopy with cited references standardization," Journal of Informetrics, Elsevier, vol. 10(2), pages 503-515.
    5. Ronald Snijder, 2016. "Revisiting an open access monograph experiment: measuring citations and tweets 5 years later," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1855-1875, December.
    6. Mousumi Karmakar & Sumit Kumar Banshal & Vivek Kumar Singh, 2020. "Does presence of social media plugins in a journal website result in higher social media attention of its research publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2103-2143, September.
    7. Alesia Zuccala & Raf Guns & Roberto Cornacchia & Rens Bod, 2015. "Can we rank scholarly book publishers? A bibliometric experiment with the field of history," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(7), pages 1333-1347, July.
    8. Han Zheng & Htet Htet Aung & Mojisola Erdt & Tai‐Quan Peng & Aravind Sesagiri Raamkumar & Yin‐Leng Theng, 2019. "Social media presence of scholarly journals," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 70(3), pages 256-270, March.
    9. 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.
    10. Elea Giménez-Toledo & Jorge Mañana-Rodríguez & Tim C. E. Engels & Peter Ingwersen & Janne Pölönen & Gunnar Sivertsen & Frederik T. Verleysen & Alesia A. Zuccala, 2016. "Taking scholarly books into account: current developments in five European countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 685-699, May.
    11. Kortelainen, Terttu & Katvala, Mari, 2012. "“Everything is plentiful—Except attention”. Attention data of scientific journals on social web tools," Journal of Informetrics, Elsevier, vol. 6(4), pages 661-668.
    12. Rodrigo Costas & Zohreh Zahedi & Paul Wouters, 2015. "Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2003-2019, October.
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