#10129. A Mixed Methods Study of Public Perception of Social Distancing: Integrating Qualitative and Computational Analyses for Text Data

September 2026publication date
Proposal available till 29-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Education;
Social Sciences (miscellaneous);
Statistics, Probability and Uncertainty;
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More details about the manuscript: Science Citation Index Expanded or/and Social Sciences Citation Index
Abstract:
In a rapidly changing public health crisis such as COVID-19, researchers need innovative approaches that can effectively link qualitative approaches and computational methods. In this article, computational and qualitative methods are used to analyze survey data collected in March 20XX (n = 2,270) to explore the content of persuasive messages and their relationship with self-reported health behavior—that is, social distancing.
Keywords:
computational social science; mixed methods research; public health research; qualitative method; science communication

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