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Do open science badges work? Estimating the effects of open science badges on an article’s social media attention and research impacts

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  • Qianjin Zong

    (South China Normal University)

  • Zhihong Huang

    (South China Normal University)

  • Jiaru Huang

    (South China Normal University)

Abstract

As a response to the replicability crisis, awarding open science badges was designed as an incentive for researchers to participate in open science practices (e.g., sharing data, sharing materials, and preregistration). Estimating the effectiveness (such as articles’ impacts) of the policy of awarding open science badges could address the concern of authors, journals, and open science stakeholders: do open science badges work? This study aimed to estimate the effects of open science badges on an article’s social media attention (measured by tweets) and research impacts (measured by citation counts). Articles published by Psychological Science during the period from 2014 to 2021 were selected as the sample (n = 1,161). Propensity score matching analysis was employed to examine the data. Data samples of different sizes and four other matching methods were used to check the robustness of the main results. Our results revealed that open science badges had a significant effect on social media attention, while they did not have a significant effect on the research impacts of an article.

Suggested Citation

  • Qianjin Zong & Zhihong Huang & Jiaru Huang, 2023. "Do open science badges work? Estimating the effects of open science badges on an article’s social media attention and research impacts," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3627-3648, June.
  • Handle: RePEc:spr:scient:v:128:y:2023:i:6:d:10.1007_s11192-023-04720-7
    DOI: 10.1007/s11192-023-04720-7
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    1. Petty, Richard E & Cacioppo, John T & Schumann, David, 1983. "Central and Peripheral Routes to Advertising Effectiveness: The Moderating Role of Involvement," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(2), pages 135-146, September.
    2. Bo Yang & Chao Liu & Xusen Cheng & Xi Ma, 2022. "Understanding Users' Group Behavioral Decisions About Sharing Articles in Social Media: An Elaboration Likelihood Model Perspective," Group Decision and Negotiation, Springer, vol. 31(4), pages 819-842, August.
    3. Jane Cho, 2021. "Altmetrics analysis of highly cited academic papers in the field of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7623-7635, September.
    4. Malika Ihle & Isabel S. Winney & Anna Krystalli & Michael Croucher, 2017. "Striving for transparent and credible research: practical guidelines for behavioral ecologists," Behavioral Ecology, International Society for Behavioral Ecology, vol. 28(2), pages 348-354.
    5. Garret Christensen & Allan Dafoe & Edward Miguel & Don A Moore & Andrew K Rose, 2019. "A study of the impact of data sharing on article citations using journal policies as a natural experiment," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-13, December.
    6. Ben Jann, 2017. "kmatch: Kernel matching with automatic bandwidth selection," United Kingdom Stata Users' Group Meetings 2017 11, Stata Users Group.
    7. David Giofrè & Geoff Cumming & Luca Fresc & Ingrid Boedker & Patrizio Tressoldi, 2017. "The influence of journal submission guidelines on authors' reporting of statistics and use of open research practices," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-15, April.
    8. Qianjin Zong & Yafen Xie & Jiechun Liang, 2020. "Does open peer review improve citation count? Evidence from a propensity score matching analysis of PeerJ," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 607-623, October.
    9. Hannah Hobson, 2019. "Registered reports are an ally to early career researchers," Nature Human Behaviour, Nature, vol. 3(10), pages 1010-1010, October.
    10. Harper, Lindsey M. & Kim, Youngseek, 2018. "Attitudinal, normative, and resource factors affecting psychologists’ intentions to adopt an open data badge: An empirical analysis," International Journal of Information Management, Elsevier, vol. 41(C), pages 23-32.
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    Cited by:

    1. Wei Yu & Junpeng Chen & Sanhong Deng, 2024. "Open Science Under Debate: Disentangling the Interest on Twitter and Scholarly Research," SAGE Open, , vol. 14(3), pages 21582440241, August.

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