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• W2753122118 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." @default.
• W2753122118 created "2017-09-15" @default.
• W2753122118 creator A5006659673 @default.
• W2753122118 creator A5014964771 @default.
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• W2753122118 date "2017-10-01" @default.
• W2753122118 modified "2023-10-14" @default.
• W2753122118 title "Geographic and demographic correlates of autism-related anti-vaccine beliefs on Twitter, 2009-15" @default.
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• W2753122118 cites W1981263301 @default.
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• W2753122118 doi "https://doi.org/10.1016/j.socscimed.2017.08.041" @default.
• W2753122118 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5623105" @default.
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• W2753122118 hasPublicationYear "2017" @default.
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