1. Geographic and demographic correlates of autism-related anti-vaccine beliefs on Twitter, 2009-15.
- Author
-
Tomeny, Theodore S., Vargo, Christopher J., and El-Toukhy, Sherine
- Subjects
- *
ALGORITHMS , *ATTITUDE (Psychology) , *AUTISM , *HEALTH , *HEALTH attitudes , *INCOME , *PARENTS , *POPULATION geography , *PRESS , *PUBLIC opinion , *REGRESSION analysis , *VACCINATION , *VACCINES , *INFORMATION resources , *SOCIOECONOMIC factors , *EDUCATIONAL attainment , *SOCIAL media , *DESCRIPTIVE statistics , *ANTI-vaccination movement - Abstract
This study examines temporal trends, geographic distribution, and demographic correlates of anti-vaccine beliefs on Twitter, 2009–2015. A total of 549,972 tweets were downloaded and coded for the presence of anti-vaccine beliefs through a machine learning algorithm. Tweets with self-disclosed geographic information were resolved and United States Census data were collected for corresponding areas at the micropolitan/metropolitan level. Trends in number of anti-vaccine tweets were examined at the national and state levels over time. A least absolute shrinkage and selection operator regression model was used to determine census variables that were correlated with anti-vaccination tweet volume. Fifty percent of our sample of 549,972 tweets collected between 2009 and 2015 contained anti-vaccine beliefs. Anti-vaccine tweet volume increased after vaccine-related news coverage. California, Connecticut, Massachusetts, New York, and Pennsylvania had anti-vaccination tweet volume that deviated from the national average. Demographic characteristics explained 67% of variance in geographic clustering of anti-vaccine tweets, which were associated with a larger population and higher concentrations of women who recently gave birth, households with high income levels, men aged 40 to 44, and men with minimal college education. Monitoring anti-vaccination beliefs on Twitter can uncover vaccine-related concerns and misconceptions, serve as an indicator of shifts in public opinion, and equip pediatricians to refute anti-vaccine arguments. Real-time interventions are needed to counter anti-vaccination beliefs online. Identifying clusters of anti-vaccination beliefs can help public health professionals disseminate targeted/tailored interventions to geographic locations and demographic sectors of the population. [ABSTRACT FROM AUTHOR]
- Published
- 2017
- Full Text
- View/download PDF