J Prev Med Public Health.  2017 Mar;50(2):133-140. 10.3961/jpmph.16.107.

Zika Virus on YouTube: An Analysis of English-language Video Content by Source

Affiliations
  • 1Department of Public Health, William Paterson University College of Science and Health, Wayne, NJ, USA.
  • 2Department of Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA. cfung@georgiasouthern.edu
  • 3College of Engineering, The University of Georgia, Athens, GA, USA.
  • 4Journalism and Media Studies Centre, The University of Hong Kong, Hong Kong.
  • 5Department of Pediatrics and Adolescent Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong.
  • 6Department of Health and Behavior Studies, Teachers College, Columbia University, New York, NY, USA.

Abstract


OBJECTIVES
The purpose of this study was to describe the source, length, number of views, and content of the most widely viewed Zika virus (ZIKV)-related YouTube videos. We hypothesized that ZIKV-related videos uploaded by different sources contained different content.
METHODS
The 100 most viewed English ZIKV-related videos were manually coded and analyzed statistically.
RESULTS
Among the 100 videos, there were 43 consumer-generated videos, 38 Internet-based news videos, 15 TV-based news videos, and 4 professional videos. Internet news sources captured over two-thirds of the total of 8 894 505 views. Compared with consumer-generated videos, Internet-based news videos were more likely to mention the impact of ZIKV on babies (odds ratio [OR], 6.25; 95% confidence interval [CI], 1.64 to 23.76), the number of cases in Latin America (OR, 5.63; 95% CI, 1.47 to 21.52); and ZIKV in Africa (OR, 2.56; 95% CI, 1.04 to 6.31). Compared with consumer-generated videos, TV-based news videos were more likely to express anxiety or fear of catching ZIKV (OR, 6.67; 95% CI, 1.36 to 32.70); to highlight fear of ZIKV among members of the public (OR, 7.45; 95% CI, 1.20 to 46.16); and to discuss avoiding pregnancy (OR, 3.88; 95% CI, 1.13 to 13.25).
CONCLUSIONS
Public health agencies should establish a larger presence on YouTube to reach more people with evidence-based information about ZIKV.

Keyword

Zika virus; Health communication; Internet; Social media

MeSH Terms

Africa
Anxiety
Health Communication
Internet
Latin America
Pregnancy
Public Health
Social Media
Zika Virus*
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