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The social amplification and attenuation of COVID-19 risk perception shaping mask wearing behavior: A longitudinal twitter analysis.
Hopfer, Suellen; Fields, Emilia J; Lu, Yuwen; Ramakrishnan, Ganesh; Grover, Ted; Bai, Quishi; Huang, Yicong; Li, Chen; Mark, Gloria.
  • Hopfer S; Department of Health, Society & Behavior, Program in Public Health, University of California, Irvine, Irvine, California, United States of America.
  • Fields EJ; Department of Health, Society & Behavior, Program in Public Health, University of California, Irvine, Irvine, California, United States of America.
  • Lu Y; Department of Computer Science, University of California, Irvine, CA, United States of America.
  • Ramakrishnan G; Department of Psychological Sciences, University of California, Irvine, Irvine, California, United States of America.
  • Grover T; Department of Informatics, University of California, Irvine, Irvine, California, United States of America.
  • Bai Q; Department of Computer Science, University of California, Irvine, CA, United States of America.
  • Huang Y; Department of Computer Science, University of California, Irvine, CA, United States of America.
  • Li C; Department of Computer Science, University of California, Irvine, CA, United States of America.
  • Mark G; Department of Informatics, University of California, Irvine, Irvine, California, United States of America.
PLoS One ; 16(9): e0257428, 2021.
Article in English | MEDLINE | ID: covidwho-1435612
ABSTRACT

INTRODUCTION:

Twitter represents a mainstream news source for the American public, offering a valuable vehicle for learning how citizens make sense of pandemic health threats like Covid-19. Masking as a risk mitigation measure became controversial in the US. The social amplification risk framework offers insight into how a risk event interacts with psychological, social, institutional, and cultural communication processes to shape Covid-19 risk perception.

METHODS:

Qualitative content analysis was conducted on 7,024 mask tweets reflecting 6,286 users between January 24 and July 7, 2020, to identify how citizens expressed Covid-19 risk perception over time. Descriptive statistics were computed for (a) proportion of tweets using hyperlinks, (b) mentions, (c) hashtags, (d) questions, and (e) location.

RESULTS:

Six themes emerged regarding how mask tweets amplified and attenuated Covid-19 risk (a) severity perceptions (18.0%) steadily increased across 5 months; (b) mask effectiveness debates (10.7%) persisted; (c) who is at risk (26.4%) peaked in April and May 2020; (d) mask guidelines (15.6%) peaked April 3, 2020, with federal guidelines; (e) political legitimizing of Covid-19 risk (18.3%) steadily increased; and (f) mask behavior of others (31.6%) composed the largest discussion category and increased over time. Of tweets, 45% contained a hyperlink, 40% contained mentions, 33% contained hashtags, and 16.5% were expressed as a question.

CONCLUSIONS:

Users ascribed many meanings to mask wearing in the social media information environment revealing that COVID-19 risk was expressed in a more expanded range than objective risk. The simultaneous amplification and attenuation of COVID-19 risk perception on social media complicates public health messaging about mask wearing.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / Social Media / COVID-19 / Masks Type of study: Cohort study / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0257428

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / Social Media / COVID-19 / Masks Type of study: Cohort study / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Limits: Humans Country/Region as subject: North America Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0257428