Scaling up the discovery of hesitancy profiles by identifying the framing of beliefs towards vaccine confidence in Twitter discourse.

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Title: Scaling up the discovery of hesitancy profiles by identifying the framing of beliefs towards vaccine confidence in Twitter discourse.
Authors: Weinzierl, Maxwell A., Hopfer, Suellen, Harabagiu, Sanda M.
Source: Journal of Behavioral Medicine. Apr2023, Vol. 46 Issue 1/2, p253-275. 23p. 2 Diagrams, 10 Charts, 1 Graph.
Subjects: Vaccination, Confidence, Ethics, COVID-19 vaccines, Attitude (Psychology), Social media, Natural language processing, Health literacy, Vaccine hesitancy, Health attitudes, Human papillomavirus vaccines, Drug labeling, Misinformation, Pharmaceutical industry, COVID-19 pandemic, Trust
Abstract: Our study focused on the discovery of how vaccine hesitancy is framed in Twitter discourse, allowing us to recognize at-scale all tweets that evoke any of the hesitancy framings as well as the stance of the tweet authors towards the frame. By categorizing the hesitancy framings that propagate misinformation, address issues of trust in vaccines, or highlight moral issues or civil rights, we were able to empirically recognize their ontological commitments. Ontological commitments of vaccine hesitancy framings couples with the stance of tweet authors allowed us to identify hesitancy profiles for two most controversial yet effective and underutilized vaccines for which there remains substantial reluctance among the public: the Human Papillomavirus and the COVID-19 vaccines. The discovered hesitancy profiles inform public health messaging approaches to effectively reach Twitter users with promise to shift or bolster vaccine attitudes. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Scaling up the discovery of hesitancy profiles by identifying the framing of beliefs towards vaccine confidence in Twitter discourse.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Behavioral+Medicine%22">Journal of Behavioral Medicine</searchLink>. Apr2023, Vol. 46 Issue 1/2, p253-275. 23p. 2 Diagrams, 10 Charts, 1 Graph.
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  Data: <searchLink fieldCode="DE" term="%22Vaccination%22">Vaccination</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence%22">Confidence</searchLink><br /><searchLink fieldCode="DE" term="%22Ethics%22">Ethics</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+vaccines%22">COVID-19 vaccines</searchLink><br /><searchLink fieldCode="DE" term="%22Attitude+%28Psychology%29%22">Attitude (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22Health+literacy%22">Health literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Vaccine+hesitancy%22">Vaccine hesitancy</searchLink><br /><searchLink fieldCode="DE" term="%22Health+attitudes%22">Health attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Human+papillomavirus+vaccines%22">Human papillomavirus vaccines</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+labeling%22">Drug labeling</searchLink><br /><searchLink fieldCode="DE" term="%22Misinformation%22">Misinformation</searchLink><br /><searchLink fieldCode="DE" term="%22Pharmaceutical+industry%22">Pharmaceutical industry</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Trust%22">Trust</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Our study focused on the discovery of how vaccine hesitancy is framed in Twitter discourse, allowing us to recognize at-scale all tweets that evoke any of the hesitancy framings as well as the stance of the tweet authors towards the frame. By categorizing the hesitancy framings that propagate misinformation, address issues of trust in vaccines, or highlight moral issues or civil rights, we were able to empirically recognize their ontological commitments. Ontological commitments of vaccine hesitancy framings couples with the stance of tweet authors allowed us to identify hesitancy profiles for two most controversial yet effective and underutilized vaccines for which there remains substantial reluctance among the public: the Human Papillomavirus and the COVID-19 vaccines. The discovered hesitancy profiles inform public health messaging approaches to effectively reach Twitter users with promise to shift or bolster vaccine attitudes. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Behavioral Medicine is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s10865-022-00328-z
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        Text: English
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        PageCount: 23
        StartPage: 253
    Subjects:
      – SubjectFull: Vaccination
        Type: general
      – SubjectFull: Confidence
        Type: general
      – SubjectFull: Ethics
        Type: general
      – SubjectFull: COVID-19 vaccines
        Type: general
      – SubjectFull: Attitude (Psychology)
        Type: general
      – SubjectFull: Social media
        Type: general
      – SubjectFull: Natural language processing
        Type: general
      – SubjectFull: Health literacy
        Type: general
      – SubjectFull: Vaccine hesitancy
        Type: general
      – SubjectFull: Health attitudes
        Type: general
      – SubjectFull: Human papillomavirus vaccines
        Type: general
      – SubjectFull: Drug labeling
        Type: general
      – SubjectFull: Misinformation
        Type: general
      – SubjectFull: Pharmaceutical industry
        Type: general
      – SubjectFull: COVID-19 pandemic
        Type: general
      – SubjectFull: Trust
        Type: general
    Titles:
      – TitleFull: Scaling up the discovery of hesitancy profiles by identifying the framing of beliefs towards vaccine confidence in Twitter discourse.
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              Text: Apr2023
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