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. |
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| 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.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 163005081 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Scaling up the discovery of hesitancy profiles by identifying the framing of beliefs towards vaccine confidence in Twitter discourse. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Weinzierl%2C+Maxwell+A%2E%22">Weinzierl, Maxwell A.</searchLink><br /><searchLink fieldCode="AR" term="%22Hopfer%2C+Suellen%22">Hopfer, Suellen</searchLink><br /><searchLink fieldCode="AR" term="%22Harabagiu%2C+Sanda+M%2E%22">Harabagiu, Sanda M.</searchLink> – Name: TitleSource Label: Source Group: Src 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. – Name: Subject Label: Subjects Group: Su 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 Group: Ab 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.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=163005081 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10865-022-00328-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: 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. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Weinzierl, Maxwell A. – PersonEntity: Name: NameFull: Hopfer, Suellen – PersonEntity: Name: NameFull: Harabagiu, Sanda M. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 01607715 Numbering: – Type: volume Value: 46 – Type: issue Value: 1/2 Titles: – TitleFull: Journal of Behavioral Medicine Type: main |
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