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Twitter a hotbed of anti-vaccine sentiment, finds CU Boulder study

University of Colorado at Boulder News Oct 05, 2017

Anti-vaccine sentiment is alive and growing in social media, with California, Connecticut, Massachusetts, New York and Pennsylvania showing the most negative tweets of any states, according to a new five-year CU Boulder study.

In Colorado, Fort Collins ranked particularly high for the prevalence of anti-vaccine tweets. Regions around the country with high affluence and/or a large number of new moms were most likely to be hotbeds of anti-vaccine Twitter users, the study found.

“The debate online is far from over. There is still a very vocal group of people out there who are opposed to vaccines,” said study co-author Chris Vargo, an assistant professor in the College of Media, Communication and Information. “Half of the talk online that we observed about vaccines was negative.”

For the study, published in the October issue of the journal Social Science and Medicine, Vargo and co-author Theodore Tomeny, an autism researcher with University of Alabama, created a machine-learning algorithm to examine more than a half-million tweets from around the country between 2009 and 2015. To make the sample a manageable size, they looked only at tweets that referred to both autism spectrum disorder and vaccines.

For two decades anti-vaccine activists have suggested that certain vaccines can lead to autism, often referring to a 1998 study of 12 children, published in the Lancet, which suggested that the measles, mumps and rubella (MMR) vaccine predisposed youth to developmental disorders.

The Lancet retracted the paper in 2010 and subsequent studies have failed to find a causal link.

“Time and time again researchers have tried to substantiate this idea that there is a link between autism and vaccines but they have not been able to,” said Tomeny. “Unfortunately, the idea is still very much out there, being promoted by a vocal minority online. That’s problematic because often only one side of the story is being told.”

The authors note recent outbreaks of previously eradicated, vaccine-preventable diseases like measles and pertussis have been linked to refusal to vaccinate and anti-immunization-related beliefs. A few studies have provided clues as to what drives anti-vaccine sentiment, but they have relied on small samples of people.

Vargo wanted to use expansive data sets to ask the questions: How prevalent is the sentiment online; is it growing; and where does it cluster geographically?

Between 2010 and 2015, the study found anti-vaccine tweets became, overall, more common nationwide. As the number of households that made over $200,000 annually increased or the number of women who had delivered a baby in the past 12 months increased, so did the amount of anti-vaccine tweets.

Within states, sentiment varied widely from city to city.

For instance, in Denver, 24 percent of tweets over the course of five years were anti-vaccine while in Fort Collins, 59 percent were.

Vargo stressed he does not see Twitter posts as a representative sample of overall public opinion, but rather a pulse of the level of anti-vaccine activism in an area.

Ultimately, he envisions using the algorithm to create real-time maps similar to the one developed for the study that pediatricians could use to gauge anti-vaccine sentiment in their communities.

He also imagines a day when public health agencies could develop targeted campaigns presenting the latest evidence about vaccine safety for those living in anti-vaccine hotbed regions.

“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,” the authors concluded.
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