2017
DOI: 10.1080/10510974.2017.1414068
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Using Text Mining to Compare Online Pro- and Anti-Vaccine Headlines: Word Usage, Sentiments, and Online Popularity

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Cited by 45 publications
(49 citation statements)
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“…Particularly in healthcare, it is worth looking at a means to motivate people with positive sentiments to remain active and contribute more online. Positive emotions have been suggested to incite people to consider long-term benefits over short-term costs [119][120][121]. Lastly, considering the affinity of users in different age groups to certain platforms, future studies can incorporate hybrid methods involving multiple platforms to be able to compare sentiments across age groups and across platforms.…”
Section: Discussionmentioning
confidence: 99%
“…Particularly in healthcare, it is worth looking at a means to motivate people with positive sentiments to remain active and contribute more online. Positive emotions have been suggested to incite people to consider long-term benefits over short-term costs [119][120][121]. Lastly, considering the affinity of users in different age groups to certain platforms, future studies can incorporate hybrid methods involving multiple platforms to be able to compare sentiments across age groups and across platforms.…”
Section: Discussionmentioning
confidence: 99%
“…Some studies incorporated social network analysis or epidemiological modelling to better explain the dynamics of misinformation spread (Bessi et al, 2015;Ghenai and Mejova, 2017;Harris et al, 2014;Jin et al, 2014;Radzikowski et al, 2016;Wood, 2018). Many designs were also complemented by sentiment measures, for instance, the "antivaccine" sentiment (Bahk et al, 2016;Xu and Guo, 2018).…”
Section: Methodsmentioning
confidence: 99%
“…For instance, Basch et al (2017), Donzelli et al (2018) and Porat et al (2018) report high online prevalence and popularity of autism-related discussions in fora on vaccination. Tustin et al (2018) and Xu and Guo (2018) also reported widespread misinformation about side effects, as well as mistrust in government or pharmaceutical companies in discussions on vaccination. Krishna's (2017) study of active propagators of these messages found that those who were knowledge-deficient and vaccine-averse exhibit higher levels of activity than those who are not.…”
Section: Vaccines and Communicable Diseasesmentioning
confidence: 99%
“…This is because, as mentioned above, despite the existence of numerous studies that explain the benefits of vaccination, there are still many conflicting views on pro-vaccine and anti-vaccine [ 34 ], especially having in mind more intensive use of online media and marketing campaigns in modern age. Research studies show that anti-vaccine articles are more likely to be shared, commented on, and reacted to online than pro-vaccine messages [ 35 ]. Online anti-vaccine messages may lead parents to question the safety of vaccine, distrust health professionals, and seek non-medical vaccine exemptions [ 36 , 37 ].…”
Section: Introductionmentioning
confidence: 99%