Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30075
Emotions in Health Tweets: Analysis of American Government Official Accounts

Authors: García López

Abstract:

The Government Departments of Health have the task of informing and educating citizens about public health issues. For this, they use channels like Twitter, key in the search for health information and the propagation of content. The tweets, important in the virality of the content, may contain emotions that influence the contagion and exchange of knowledge. The goal of this study is to perform an analysis of the emotional projection of health information shared on Twitter by official American accounts: the disease control account CDCgov, National Institutes of Health, NIH, the government agency HHSGov, and the professional organization PublicHealth. For this, we used Tone Analyzer, an International Business Machines Corporation (IBM) tool specialized in emotion detection in text, corresponding to the categorical model of emotion representation. For 15 days, all tweets from these accounts were analyzed with the emotional analysis tool in text. The results showed that their tweets contain an important emotional load, a determining factor in the success of their communications. This exposes that official accounts also use subjective language and contain emotions. The predominance of emotion joy over sadness and the strong presence of emotions in their tweets stimulate the virality of content, a key in the work of informing that government health departments have.

Keywords: Emotions in tweets emotion detection in text, health information on Twitter, American health official accounts, emotions on Twitter, emotions and content.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2643603

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 192

References:


[1] Harris, J. K., Choucair, B., Maier, R. C., Jolani, N., & Bernhardt, J. M. (2014). Are public health organizations tweeting to the choir? Understanding local health department Twitter followership. Journal of medical Internet research, 16(2).
[2] Fox S. The social life of health information, 2011. Washington, DC: Pew Internet & American Life Project, 2011. May 12, 2013-09-23. Link: http://pewinternet.org/~/media/Files/Reports/2011/PIP_Social_Life_of_Health_Info.pdf.
[3] Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013). A New Dimension of Health Care: Systematic Review of the Uses, Benefits, and Limitations of Social Media for Health Communication. Journal of Medical Internet Research, 15(4), e85. http://doi.org/10.2196/jmir.1933.
[4] Hyvärinen, H., & Beck, R. (2018, January). Emotions Trump Facts: The Role of Emotions in on Social Media: A Literature Review. In Proceedings of the 51st Hawaii International Conference on System Sciences.
[5] Dafonte-Gómez, A. (2018). News Media and the Emotional Public Sphere| Audiences as Medium: Motivations and Emotions in News Sharing. International Journal of Communication, 12, 20.
[6] Shivhare, S. N., & Khethawat, S. (2012). Emotion detection from text. arXiv preprint arXiv:1205.4944. Department of CSE and IT, Maulana Azad National Institute of Technology, Bhopal, Madhya Pradesh, India. Url: https://arxiv.org/ftp/arxiv/papers/1205/1205.4944.pdf
[7] Ekman, P. (1992). An argument for basic emotions. Cognition Emotion, 6(3), 169-200. University of California. Url: https://www.paulekman.com/wp-content/uploads/2013/07/An-Argument-For-Basic-Emotions.pdf.
[8] Go, Bhayani, Huang. (No date) Twitter Sentiment Classification using Distant Supervision. Stanford University. Url: https://www-cs.stanford.edu/people/alecmgo/papers/TwitterDistantSupervision09.pdf.
[9] Stump, T., Zilch, S., & Coustasse, A. (2012). The emergence and potential impact of medicine 2.0 in the healthcare industry. Hospital topics, 90(2), 33-38.
[10] Emma Hilton, C. (2017). Unveiling self-harm behaviour: What can social media site Twitter tell us about self-harm? A qualitative exploration. Journal of Clinical Nursing, 26, 1690–1704. doi:10.1111/jocn.13575 Google Scholar, Crossref, Medline, ISI.
[11] Bradley, M.M., & Lang, P.J. (1999). Affective norms for English words (ANEW): Instruction manual and affective ratings. Technical Report C-1, The Center for Research in Psychophysiology, University of Florida. Link: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.306.3881& rep=rep1&type=pdf.
[12] Llompart López, E. (2018). ¿ Qué estrategias habilidades sociales y comunicativas debe tener el profesional de la salud en relación a la comunicación de las malas noticias?.