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COVID-19 vaccine perceptions in the initial phases of US vaccine roll-out: an observational study on reddit.
Kumar, Navin; Corpus, Isabel; Hans, Meher; Harle, Nikhil; Yang, Nan; McDonald, Curtis; Sakai, Shinpei Nakamura; Janmohamed, Kamila; Chen, Keyu; Altice, Frederick L; Tang, Weiming; Schwartz, Jason L; Jones-Jang, S Mo; Saha, Koustuv; Memon, Shahan Ali; Bauch, Chris T; Choudhury, Munmun De; Papakyriakopoulos, Orestis; Tucker, Joseph D; Goyal, Abhay; Tyagi, Aman; Khoshnood, Kaveh; Omer, Saad.
  • Kumar N; Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, USA. Navin.kumar@yale.edu.
  • Corpus I; Yale College, New Haven, CT, USA.
  • Hans M; Yale College, New Haven, CT, USA.
  • Harle N; Yale College, New Haven, CT, USA.
  • Yang N; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
  • McDonald C; Department of Statistics, Yale University, New Haven, CT, USA.
  • Sakai SN; Department of Statistics, Yale University, New Haven, CT, USA.
  • Janmohamed K; Yale College, New Haven, CT, USA.
  • Chen K; Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, USA.
  • Altice FL; Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, USA.
  • Tang W; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.
  • Schwartz JL; University of North Carolina Project-China, Guangzhou, China.
  • Jones-Jang SM; Social Entrepreneurship to Spur Health (SESH) Global, Guangzhou, China.
  • Saha K; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Memon SA; Department of Health Policy and Management, Yale School of Public Health, New Haven, CT, USA.
  • Bauch CT; Department of Communications, Boston College, Boston, MA, USA.
  • Choudhury M; Microsoft Research Lab, Montreal, Québec, Canada.
  • Papakyriakopoulos O; New York University, Abu Dhabi, UAE.
  • Tucker JD; Department of Applied Mathematics, University of Waterloo, Waterloo, Ontario, Canada.
  • Goyal A; School of Interactive Computing, Georgia Tech, Atlanta, GA, USA.
  • Tyagi A; Center for Information Technology Policy, Princeton University, Princeton, NJ, USA.
  • Khoshnood K; University of North Carolina Project-China, Guangzhou, China.
  • Omer S; School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
BMC Public Health ; 22(1): 446, 2022 03 07.
Article in English | MEDLINE | ID: covidwho-1731526
ABSTRACT

BACKGROUND:

Open online forums like Reddit provide an opportunity to quantitatively examine COVID-19 vaccine perceptions early in the vaccine timeline. We examine COVID-19 misinformation on Reddit following vaccine scientific announcements, in the initial phases of the vaccine timeline.

METHODS:

We collected all posts on Reddit (reddit.com) from January 1 2020 - December 14 2020 (n=266,840) that contained both COVID-19 and vaccine-related keywords. We used topic modeling to understand changes in word prevalence within topics after the release of vaccine trial data. Social network analysis was also conducted to determine the relationship between Reddit communities (subreddits) that shared COVID-19 vaccine posts, and the movement of posts between subreddits.

RESULTS:

There was an association between a Pfizer press release reporting 90% efficacy and increased discussion on vaccine misinformation. We observed an association between Johnson and Johnson temporarily halting its vaccine trials and reduced misinformation. We found that information skeptical of vaccination was first posted in a subreddit (r/Coronavirus) which favored accurate information and then reposted in subreddits associated with antivaccine beliefs and conspiracy theories (e.g. conspiracy, NoNewNormal).

CONCLUSIONS:

Our findings can inform the development of interventions where individuals determine the accuracy of vaccine information, and communications campaigns to improve COVID-19 vaccine perceptions, early in the vaccine timeline. Such efforts can increase individual- and population-level awareness of accurate and scientifically sound information regarding vaccines and thereby improve attitudes about vaccines, especially in the early phases of vaccine roll-out. Further research is needed to understand how social media can contribute to COVID-19 vaccination services.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / Social Media / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: S12889-022-12824-7

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Vaccines / Social Media / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines Limits: Humans Language: English Journal: BMC Public Health Journal subject: Public Health Year: 2022 Document Type: Article Affiliation country: S12889-022-12824-7