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A comparison of information sharing behaviours across 379 health conditions on Twitter

Author

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  • Ziqi Zhang

    (University of Sheffield)

  • Wasim Ahmed

    (Northumbria University)

Abstract

Objectives To compare information sharing of over 379 health conditions on Twitter to uncover trends and patterns of online user activities. Methods We collected 1.5 million tweets generated by over 450,000 Twitter users for 379 health conditions, each of which was quantified using a multivariate model describing engagement, user and content aspects of the data and compared using correlation and network analysis to discover patterns of user activities in these online communities. Results We found a significant imbalance in terms of the size of communities interested in different health conditions, regardless of the seriousness of these conditions. Improving the informativeness of tweets by using, for example, URLs, multimedia and mentions can be important factors in promoting health conditions on Twitter. Using hashtags on the contrary is less effective. Social network analysis revealed similar structures of the discussion found across different health conditions. Conclusions Our study found variance in activity between different health communities on Twitter, and our results are likely to be of interest to public health authorities and officials interested in the potential of Twitter to raise awareness of public health.

Suggested Citation

  • Ziqi Zhang & Wasim Ahmed, 2019. "A comparison of information sharing behaviours across 379 health conditions on Twitter," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(3), pages 431-440, April.
  • Handle: RePEc:spr:ijphth:v:64:y:2019:i:3:d:10.1007_s00038-018-1192-5
    DOI: 10.1007/s00038-018-1192-5
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    References listed on IDEAS

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    1. Johannes Salem & Hendrik Borgmann & Matthew Bultitude & Hans-Martin Fritsche & Axel Haferkamp & Axel Heidenreich & Arkadiusz Miernik & Andreas Neisius & Thomas Knoll & Christian Thomas & Igor Tsaur, 2016. "Online Discussion on #KidneyStones: A Longitudinal Assessment of Activity, Users and Content," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-11, August.
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    Cited by:

    1. Ingjerd Skafle & Elia Gabarron & Anders Dechsling & Anders Nordahl-Hansen, 2021. "Online Attitudes and Information-Seeking Behavior on Autism, Asperger Syndrome, and Greta Thunberg," IJERPH, MDPI, vol. 18(9), pages 1-16, May.
    2. Irene Gómez-Marí & Pilar Sanz-Cervera & Raúl Tárraga-Mínguez, 2021. "Today Is My Day: Analysis of the Awareness Campaigns’ Impact on Functional Diversity in the Press, on Google, and on Twitter," IJERPH, MDPI, vol. 18(15), pages 1-13, July.
    3. Wasim Ahmed & Xavier Marin-Gomez & Josep Vidal-Alaball, 2020. "Contextualising the 2019 E-Cigarette Health Scare: Insights from Twitter," IJERPH, MDPI, vol. 17(7), pages 1-10, March.

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