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Who, what, why? An exploration of JoVE scientific video publications in tweets

Author

Listed:
  • Shenmeng Xu

    (University of North Carolina at Chapel Hill)

  • Houqiang Yu

    (Nanjing University of Science and Technology)

  • Bradley M. Hemminger

    (University of North Carolina at Chapel Hill)

  • Xie Dong

    (University of North Carolina at Chapel Hill)

Abstract

This paper investigates how and why scientific video articles are communicated on Twitter. We use video articles published in the Journal of Visualized Experiments (JoVE) as our objects of study. We harvested tweets from October 2011 to November 2015 that contained one or more JoVE links. These tweets “citing” JoVE articles were analyzed both statistically and qualitatively. In this paper, we present the distribution of these tweets, with a closer look at the affordance use of Twitter including hashtags and mentions. In addition, we conducted a content analysis of the sampled Twitter accounts and tweets. We present the coding schemes and results of both Twitter user accounts and tweets text. In addition to the analysis of the coding results, we discuss the content of the tweets with particular attention to issues including the video/visual feature mentioned, the role of Twitter bots, and self-promotion of different stakeholders in the Twitter communication of JoVE video publications.

Suggested Citation

  • Shenmeng Xu & Houqiang Yu & Bradley M. Hemminger & Xie Dong, 2018. "Who, what, why? An exploration of JoVE scientific video publications in tweets," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 845-856, November.
    • Handle: RePEc:spr:scient:v:117:y:2018:i:2:d:10.1007_s11192-018-2880-x
    DOI: 10.1007/s11192-018-2880-x
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    References listed on IDEAS

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    1. Kim Holmberg & Mike Thelwall, 2014. "Disciplinary differences in Twitter scholarly communication," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1027-1042, November.
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    5. Yu, Houqiang & Xu, Shenmeng & Xiao, Tingting & Hemminger, Brad M. & Yang, Siluo, 2017. "Global science discussed in local altmetrics: Weibo and its comparison with Twitter," Journal of Informetrics, Elsevier, vol. 11(2), pages 466-482.
    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.
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    Cited by:

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