IDEAS home Printed from https://ideas.repec.org/a/eee/infome/v16y2022i1s1751157722000013.html
   My bibliography  Save this article

How does duplicate tweeting boost social media exposure to scholarly articles?

Author

Listed:
  • Cao, Renmeng
  • Geng, Yu
  • Xu, Xiaoke
  • Wang, Xianwen

Abstract

Duplicate tweeting is a kind of behavior that a user posts the same or substantially similar original tweets to one or several topics multiple times in a row, which is commonly used to boost social media exposure to online information. However, how this behavior boosts social media exposure to online information, especially to scientific publications, is still unclear. In this study, we use the number of retweets an article received as a proxy for social media exposure to the article. Based on the duplicate tweeting records of 12,263 users on Twitter from 2011 to 2017, we find that social media exposure to scholarly articles has a significant marginal effect as the number of duplicate tweeting (k) increases. It ramps up a peak value when k is between 2 and 4 and goes down when k takes a greater value. We also find that a longer posting interval can sharply reduce social media exposure to scholarly articles, and posting non-duplicate content can significantly improve the exposure. Our findings not only help scientists and journal publishers effectively improve the social impact of their research outputs but also advance the understanding of the diffusion processes of scholarly articles.

Suggested Citation

  • Cao, Renmeng & Geng, Yu & Xu, Xiaoke & Wang, Xianwen, 2022. "How does duplicate tweeting boost social media exposure to scholarly articles?," Journal of Informetrics, Elsevier, vol. 16(1).
  • Handle: RePEc:eee:infome:v:16:y:2022:i:1:s1751157722000013
    DOI: 10.1016/j.joi.2022.101249
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1751157722000013
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joi.2022.101249?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. José Luis Ortega, 2016. "To be or not to be on Twitter, and its relationship with the tweeting and citation of research papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1353-1364, November.
    2. Xianwen Wang & Zhichao Fang & Xinhui Guo, 2016. "Tracking the digital footprints to scholarly articles from social media," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1365-1376, November.
    3. 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.
    4. Nicola Botting & Lucy Dipper & Katerina Hilari, 2017. "The effect of social media promotion on academic article uptake," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(3), pages 795-800, March.
    5. 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.
    6. Pablo Jensen & Jean-Baptiste Rouquier & Pablo Kreimer & Yves Croissant, 2008. "Scientists who engage with society perform better academically," Science and Public Policy, Oxford University Press, vol. 35(7), pages 527-541, August.
    7. Ni, Chengzhang & Yang, Jun & Kong, Demei, 2020. "Sequential seeding strategy for social influence diffusion with improved entropy-based centrality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    8. 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.
    9. 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.
    10. Thomy Tonia & Herman Van Oyen & Anke Berger & Christian Schindler & Nino Künzli, 2016. "If I tweet will you cite? The effect of social media exposure of articles on downloads and citations," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 61(4), pages 513-520, May.
    11. Surendra Sedhai & Aixin Sun, 2017. "An analysis of 14 Million tweets on hashtag-oriented spamming," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(7), pages 1638-1651, July.
    12. 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.
    13. Shu, Fei & Julien, Charles-Antoine & Zhang, Lin & Qiu, Junping & Zhang, Jing & Larivière, Vincent, 2019. "Comparing journal and paper level classifications of science," Journal of Informetrics, Elsevier, vol. 13(1), pages 202-225.
    14. Li, Huixu & Liu, Lanjian & Wang, Xianwen, 2021. "The open access effect in social media exposure of scholarly articles: A matched-pair analysis," Journal of Informetrics, Elsevier, vol. 15(3).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wenceslao Arroyo-Machado & Daniel Torres-Salinas & Nicolas Robinson-Garcia, 2021. "Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 9267-9289, November.
    2. 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.
    3. Lin Zhang & Beibei Sun & Fei Shu & Ying Huang, 2022. "Comparing paper level classifications across different methods and systems: an investigation of Nature publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7633-7651, December.
    4. Gabriele Sampagnaro, 2023. "Keyword occurrences and journal specialization," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5629-5645, October.
    5. Michael Gusenbauer, 2022. "Search where you will find most: Comparing the disciplinary coverage of 56 bibliographic databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2683-2745, May.
    6. Muñoz-Écija, Teresa & Vargas-Quesada, Benjamín & Chinchilla Rodríguez, Zaida, 2019. "Coping with methods for delineating emerging fields: Nanoscience and nanotechnology as a case study," Journal of Informetrics, Elsevier, vol. 13(4).
    7. Sitaram Devarakonda & Dmitriy Korobskiy & Tandy Warnow & George Chacko, 2020. "Viewing computer science through citation analysis: Salton and Bergmark Redux," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 271-287, October.
    8. David Howoldt & Henning Kroll & Peter Neuhäusler & Alexander Feidenheimer, 2023. "Understanding researchers’ Twitter uptake, activity and popularity—an analysis of applied research in Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 325-344, January.
    9. 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.
    10. David Howoldt & Henning Kroll & Peter Neuhäusler, 2023. "Relating popularity on Twitter and Linkedin to bibliometric indicators of visibility and interconnectedness: an analysis of 8512 applied researchers in Germany," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5571-5594, October.
    11. 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.
    12. Zhichao Fang & Rodrigo Costas, 2020. "Studying the accumulation velocity of altmetric data tracked by Altmetric.com," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 1077-1101, May.
    13. Fei Shu & Yue Ma & Junping Qiu & Vincent Larivière, 2020. "Classifications of science and their effects on bibliometric evaluations," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2727-2744, December.
    14. Ugo Moschini & Elena Fenialdi & Cinzia Daraio & Giancarlo Ruocco & Elisa Molinari, 2020. "A comparison of three multidisciplinarity indices based on the diversity of Scopus subject areas of authors’ documents, their bibliography and their citing papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1145-1158, November.
    15. Yanto Chandra, 2018. "Mapping the evolution of entrepreneurship as a field of research (1990–2013): A scientometric analysis," PLOS ONE, Public Library of Science, vol. 13(1), pages 1-24, January.
    16. Nadine Desrochers & Adèle Paul‐Hus & Jen Pecoskie, 2017. "Five decades of gratitude: A meta‐synthesis of acknowledgments research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2821-2833, December.
    17. Diego Chavarro & Puay Tang & Ismael Rafols, 2014. "Interdisciplinarity and research on local issues: evidence from a developing country," Research Evaluation, Oxford University Press, vol. 23(3), pages 195-209.
    18. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    19. K. J. Wang & J. Widagdo & Y. S. Lin & H. L. Yang & S. L. Hsiao, 2016. "A service innovation framework for start-up firms by integrating service experience engineering approach and capability maturity model," Service Business, Springer;Pan-Pacific Business Association, vol. 10(4), pages 867-916, December.
    20. Juan Miguel Campanario, 2018. "Are leaders really leading? Journals that are first in Web of Science subject categories in the context of their groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 111-130, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:infome:v:16:y:2022:i:1:s1751157722000013. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joi .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.