Associations of Topics of Discussion on Twitter With Survey Measures of Attitudes, Knowledge, and Behaviors Related to Zika

Probabilistic Study in the United States

Mohsen Farhadloo, Kenneth Winneg, Man Pui Sally Chan, Kathleen Hall Jamieson, Dolores Albarracin

Research output: Contribution to journalArticle

Abstract

BACKGROUND: Recent outbreaks of Zika virus around the world led to increased discussions about this issue on social media platforms such as Twitter. These discussions may provide useful information about attitudes, knowledge, and behaviors of the population regarding issues that are important for public policy.

OBJECTIVE: We sought to identify the associations of the topics of discussions on Twitter and survey measures of Zika-related attitudes, knowledge, and behaviors, not solely based upon the volume of such discussions but by analyzing the content of conversations using probabilistic techniques.

METHODS: Using probabilistic topic modeling with US county and week as the unit of analysis, we analyzed the content of Twitter online communications to identify topics related to the reported attitudes, knowledge, and behaviors captured in a national representative survey (N=33,193) of the US adult population over 33 weeks.

RESULTS: Our analyses revealed topics related to "congress funding for Zika," "microcephaly," "Zika-related travel discussions," "insect repellent," "blood transfusion technology," and "Zika in Miami" were associated with our survey measures of attitudes, knowledge, and behaviors observed over the period of the study.

CONCLUSIONS: Our results demonstrated that it is possible to uncover topics of discussions from Twitter communications that are associated with the Zika-related attitudes, knowledge, and behaviors of populations over time. Social media data can be used as a complementary source of information alongside traditional data sources to gauge the patterns of attitudes, knowledge, and behaviors in a population.

Original languageEnglish (US)
Pages (from-to)e16
JournalJMIR public health and surveillance
Volume4
Issue number1
DOIs
StatePublished - Feb 9 2018

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Social Media
Population
Insect Repellents
Communication
Microcephaly
Information Storage and Retrieval
Public Policy
Blood Transfusion
Disease Outbreaks
Surveys and Questionnaires
Technology
Zika Virus

Keywords

  • Public health
  • Public policy
  • Topic modeling
  • Twitter
  • Zika

ASJC Scopus subject areas

  • Health Informatics

Cite this

Associations of Topics of Discussion on Twitter With Survey Measures of Attitudes, Knowledge, and Behaviors Related to Zika : Probabilistic Study in the United States. / Farhadloo, Mohsen; Winneg, Kenneth; Chan, Man Pui Sally; Jamieson, Kathleen Hall; Albarracin, Dolores.

In: JMIR public health and surveillance, Vol. 4, No. 1, 09.02.2018, p. e16.

Research output: Contribution to journalArticle

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abstract = "BACKGROUND: Recent outbreaks of Zika virus around the world led to increased discussions about this issue on social media platforms such as Twitter. These discussions may provide useful information about attitudes, knowledge, and behaviors of the population regarding issues that are important for public policy.OBJECTIVE: We sought to identify the associations of the topics of discussions on Twitter and survey measures of Zika-related attitudes, knowledge, and behaviors, not solely based upon the volume of such discussions but by analyzing the content of conversations using probabilistic techniques.METHODS: Using probabilistic topic modeling with US county and week as the unit of analysis, we analyzed the content of Twitter online communications to identify topics related to the reported attitudes, knowledge, and behaviors captured in a national representative survey (N=33,193) of the US adult population over 33 weeks.RESULTS: Our analyses revealed topics related to {"}congress funding for Zika,{"} {"}microcephaly,{"} {"}Zika-related travel discussions,{"} {"}insect repellent,{"} {"}blood transfusion technology,{"} and {"}Zika in Miami{"} were associated with our survey measures of attitudes, knowledge, and behaviors observed over the period of the study.CONCLUSIONS: Our results demonstrated that it is possible to uncover topics of discussions from Twitter communications that are associated with the Zika-related attitudes, knowledge, and behaviors of populations over time. Social media data can be used as a complementary source of information alongside traditional data sources to gauge the patterns of attitudes, knowledge, and behaviors in a population.",
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