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Investigating the quality of interactions and public engagement around scientific papers on Twitter

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  • Didegah, Fereshteh
  • Mejlgaard, Niels
  • Sørensen, Mads P.

Abstract

This study explores science communication on Twitter by investigating a sample of tweets referring to academic papers in five different scientific fields. The specifications of science communicators on Twitter, the characteristics of those who initiate actions (by tweeting), the extent and quality of reactions (retweeting), individual and group interactions, and the distribution of tweets across types of engagement in the process of science communication (i.e., dissemination, consultation, and evaluation) were explored. A broad array of actors is involved in the communication of science on Twitter, with individual citizens and individual researchers playing an important role. In principle, this is promising for creating direct interaction, which can be difficult through more traditional mass media. The vast majority of communication activities regarding academic papers is undigested dissemination with almost no sign of debate, contestation, or collective reflection. Another general finding of this study is that bot accounts play a major role in the science communication landscape on Twitter.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:infome:v:12:y:2018:i:3:p:960-971
    DOI: 10.1016/j.joi.2018.08.002
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    as
    1. Houqiang Yu, 2017. "Context of altmetrics data matters: an investigation of count type and user category," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 267-283, April.
    2. Ludo Waltman & Nees Jan van Eck, 2012. "A new methodology for constructing a publication‐level classification system of science," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    3. Kim Holmberg & Mike Thelwall, 2014. "Disciplinary differences in Twitter scholarly communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1027-1042, November.
    4. Ludo Waltman & Nees Jan Eck, 2012. "A new methodology for constructing a publication-level classification system of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    5. Adam Marcus & Ivan Oransky, 2011. "The paper is not sacred," Nature, Nature, vol. 480(7378), pages 449-450, December.
    6. Stefanie Haustein & Timothy D. Bowman & Kim Holmberg & Andrew Tsou & Cassidy R. Sugimoto & Vincent Larivière, 2016. "Tweets as impact indicators: Examining the implications of automated “bot” accounts on Twitter," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 232-238, January.
    7. Julia Vainio & Kim Holmberg, 2017. "Highly tweeted science articles: who tweets them? An analysis of Twitter user profile descriptions," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 345-366, July.
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    Cited by:

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    14. Zhichao Fang & Rodrigo Costas & Wencan Tian & Xianwen Wang & Paul Wouters, 2021. "How is science clicked on Twitter? Click metrics for Bitly short links to scientific publications," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(7), pages 918-932, July.
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