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      Associations Between Exposure to and Expression of Negative Opinions About Human Papillomavirus Vaccines on Social Media: An Observational Study

      research-article
      , PhD 1 , , , MPH, PhD 2 , , PhD 1 , , MD, MPH 3 , 4 ,   , MBBS, PhD 1
      (Reviewer), (Reviewer)
      Journal of Medical Internet Research
      JMIR Publications Inc.
      HPV vaccines, Twitter messaging, social media, public health surveillance, social networks

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          Abstract

          Background

          Groups and individuals that seek to negatively influence public opinion about the safety and value of vaccination are active in online and social media and may influence decision making within some communities.

          Objective

          We sought to measure whether exposure to negative opinions about human papillomavirus (HPV) vaccines in Twitter communities is associated with the subsequent expression of negative opinions by explicitly measuring potential information exposure over the social structure of Twitter communities.

          Methods

          We hypothesized that prior exposure to opinions rejecting the safety or value of HPV vaccines would be associated with an increased risk of posting similar opinions and tested this hypothesis by analyzing temporal sequences of messages posted on Twitter (tweets). The study design was a retrospective analysis of tweets related to HPV vaccines and the social connections between users. Between October 2013 and April 2014, we collected 83,551 English-language tweets that included terms related to HPV vaccines and the 957,865 social connections among 30,621 users posting or reposting the tweets. Tweets were classified as expressing negative or neutral/positive opinions using a machine learning classifier previously trained on a manually labeled sample.

          Results

          During the 6-month period, 25.13% (20,994/83,551) of tweets were classified as negative; among the 30,621 users that tweeted about HPV vaccines, 9046 (29.54%) were exposed to a majority of negative tweets. The likelihood of a user posting a negative tweet after exposure to a majority of negative opinions was 37.78% (2780/7361) compared to 10.92% (1234/11,296) for users who were exposed to a majority of positive and neutral tweets corresponding to a relative risk of 3.46 (95% CI 3.25-3.67, P<.001).

          Conclusions

          The heterogeneous community structure on Twitter appears to skew the information to which users are exposed in relation to HPV vaccines. We found that among users that tweeted about HPV vaccines, those who were more often exposed to negative opinions were more likely to subsequently post negative opinions. Although this research may be useful for identifying individuals and groups currently at risk of disproportionate exposure to misinformation about HPV vaccines, there is a clear need for studies capable of determining the factors that affect the formation and adoption of beliefs about public health interventions.

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          Most cited references56

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          Statistical physics of social dynamics

          Statistical physics has proven to be a very fruitful framework to describe phenomena outside the realm of traditional physics. The last years have witnessed the attempt by physicists to study collective phenomena emerging from the interactions of individuals as elementary units in social structures. Here we review the state of the art by focusing on a wide list of topics ranging from opinion, cultural and language dynamics to crowd behavior, hierarchy formation, human dynamics, social spreading. We highlight the connections between these problems and other, more traditional, topics of statistical physics. We also emphasize the comparison of model results with empirical data from social systems.
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            Digital disease detection--harnessing the Web for public health surveillance.

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              An experimental study of homophily in the adoption of health behavior.

              How does the composition of a population affect the adoption of health behaviors and innovations? Homophily--similarity of social contacts--can increase dyadic-level influence, but it can also force less healthy individuals to interact primarily with one another, thereby excluding them from interactions with healthier, more influential, early adopters. As a result, an important network-level effect of homophily is that the people who are most in need of a health innovation may be among the least likely to adopt it. Despite the importance of this thesis, confounding factors in observational data have made it difficult to test empirically. We report results from a controlled experimental study on the spread of a health innovation through fixed social networks in which the level of homophily was independently varied. We found that homophily significantly increased overall adoption of a new health behavior, especially among those most in need of it.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J. Med. Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications Inc. (Toronto, Canada )
                1439-4456
                1438-8871
                June 2015
                10 June 2015
                : 17
                : 6
                : e144
                Affiliations
                [1] 1Centre for Health Informatics Australian Institute of Health Innovation Macquarie University SydneyAustralia
                [2] 2School of Public Health The University of Sydney SydneyAustralia
                [3] 3Children’s Hospital Informatics Program Boston Children’s Hospital Boston, MAUnited States
                [4] 4Center for Biomedical Informatics Harvard Medical School Boston, MAUnited States
                Author notes
                Corresponding Author: Adam G Dunn adam.dunn@ 123456mq.edu.au
                Author information
                http://orcid.org/0000-0002-1720-8209
                http://orcid.org/0000-0001-5095-1443
                http://orcid.org/0000-0002-1736-739X
                http://orcid.org/0000-0002-9781-0477
                http://orcid.org/0000-0002-6444-6584
                Article
                v17i6e144
                10.2196/jmir.4343
                4526932
                26063290
                72d3e63c-6e6c-4fea-ae81-086902dac55e
                ©Adam G Dunn, Julie Leask, Xujuan Zhou, Kenneth D Mandl, Enrico Coiera. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 10.06.2015.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 12 February 2015
                : 15 April 2015
                : 22 April 2015
                Categories
                Original Paper
                Original Paper

                Medicine
                hpv vaccines,twitter messaging,social media,public health surveillance,social networks
                Medicine
                hpv vaccines, twitter messaging, social media, public health surveillance, social networks

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