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Health Promotion on Instagram: Descriptive–Correlational Study and Predictive Factors of Influencers’ Content

Author

Listed:
  • Laura Picazo-Sánchez

    (Department of ICT Applied to Education and Media Literacy, Faculty of Education, Universidad Internacional de Valencia (VIU), 46002 Valencia, Spain)

  • Rosa Domínguez-Martín

    (Department of Pedagogy, Faculty of Education, Universidad Internacional de Valencia (VIU), 46002 Valencia, Spain)

  • David García-Marín

    (Department of Journalism and Corporate Communication, Faculty of Communication Sciences, Universidad Rey Juan Carlos (URJC), 28933 Móstoles, Spain)

Abstract

The pandemic has accentuated the power that influencers have to influence their followers. Various scientific approaches highlight the lack of moral and ethical responsibility of these creators when disseminating content under highly sensitive tags such as health. This article presents a correlational statistical study of 443 Instagram accounts with more than one million followers belonging to health-related categories. This study aims to describe the content of these profiles and their authors and to determine whether they promote health as accounts that disseminate health-related content, identifying predictive factors of their content topics. In addition, it aims to portray their followers and establish correlations between the gender of the self-described health influencers, the characteristics of their audience and the messages that these prescribers share. Health promotion is not the predominant narrative among these influencers, who tend to promote beauty and normative bodies over health matters. A correlation is observed between posting health content, the gender of the influencers and the average age of their audiences. The study concludes with a discussion on the role of public media education and the improvement of ethical protocols on social networks to limit the impact of misleading and false content on sensitive topics, increasing the influence of real health prescribers.

Suggested Citation

  • Laura Picazo-Sánchez & Rosa Domínguez-Martín & David García-Marín, 2022. "Health Promotion on Instagram: Descriptive–Correlational Study and Predictive Factors of Influencers’ Content," IJERPH, MDPI, vol. 19(23), pages 1-15, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:15817-:d:986173
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    References listed on IDEAS

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    1. Renato Matos Lopes & Daniel José Garcia dos Santos de Faria & Antonio Augusto Fidalgo-Neto & Fabio Batista Mota, 2017. "Facebook in educational research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1591-1621, June.
    2. Andrea Castro-Martinez & Paula Méndez-Domínguez & Aimiris Sosa Valcarcel & Joaquín Castillo de Mesa, 2021. "Social Connectivity, Sentiment and Participation on Twitter during COVID-19," IJERPH, MDPI, vol. 18(16), pages 1-19, August.
    3. Alba Torrego & Alfonso Gutiérrez-Martín & Michael Hoechsmann, 2021. "The Fine Line between Person and Persona in the Spanish Reality Television Show La isla de las tentaciones : Audience Engagement on Instagram," Sustainability, MDPI, vol. 13(4), pages 1-13, February.
    4. Daniel Catalan-Matamoros & Carlos Elías, 2020. "Vaccine Hesitancy in the Age of Coronavirus and Fake News: Analysis of Journalistic Sources in the Spanish Quality Press," IJERPH, MDPI, vol. 17(21), pages 1-15, November.
    5. Vikas Kumar & Pooja Nanda & Samira Tawangar, 2022. "Social Media in Business Decisions of MSMEs: Practices and Challenges," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 14(1), pages 1-12, January.
    6. Zhang, Chaowei & Gupta, Ashish & Kauten, Christian & Deokar, Amit V. & Qin, Xiao, 2019. "Detecting fake news for reducing misinformation risks using analytics approaches," European Journal of Operational Research, Elsevier, vol. 279(3), pages 1036-1052.
    7. Maged N. Kamel Boulos & Dean M. Giustini & Steve Wheeler, 2016. "Instagram and WhatsApp in Health and Healthcare: An Overview," Future Internet, MDPI, vol. 8(3), pages 1-14, July.
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