Literature DB >> 35067113

COVID-19, Genetics, and Risk: Content Analysis of Facebook Posts Early in the Coronavirus Pandemic.

Heather E Canary1, Natalie Wellman1, Lourdes S Martinez1.   

Abstract

The COVID-19 pandemic represented a unique information seeking and sharing context for billions of Internet users across the globe. Although previous research has established that people often seek health information on the Internet, including through social media platforms, there was a political element to pandemic responses that is not typical of health issues such as seasonal influenza or heart conditions. This unique context, in conjunction with the public posting of the novel coronavirus DNA by Chinese scientists in January 2020, begs for analysis of how people used social media in the early phase of the pandemic to make sense of the role of genetics in COVID-19. This study represents such an analysis as a qualitative content analysis of Facebook posts concerning genetics and COVID-19. Data were collected from March through August of 2020 to identify how genetics issues were being shared on Facebook and the types of accounts that were sharing that information. Through analysis, four themes emerged representing Facebook posts about genetics and COVID-19: disease risk, testing, vaccines, and virus characteristics. These posts appeared on eight types of accounts, with five of those representing 88% of the data: education, health, lifestyle, news, and political. Results are interpreted with constructs from media dependency theory and implications for future research are presented.

Entities:  

Year:  2022        PMID: 35067113      PMCID: PMC9307689          DOI: 10.1080/10410236.2022.2027639

Source DB:  PubMed          Journal:  Health Commun        ISSN: 1041-0236


  29 in total

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Authors:  Anh B Nguyen; April Oh; Richard P Moser; Heather Patrick
Journal:  Psychol Health       Date:  2014-11-21

2.  Health Information Sources and the Influenza Vaccination: The Mediating Roles of Perceived Vaccine Efficacy and Safety.

Authors:  Juwon Hwang
Journal:  J Health Commun       Date:  2020-11-13

3.  The science of fake news.

Authors:  David M J Lazer; Matthew A Baum; Yochai Benkler; Adam J Berinsky; Kelly M Greenhill; Filippo Menczer; Miriam J Metzger; Brendan Nyhan; Gordon Pennycook; David Rothschild; Michael Schudson; Steven A Sloman; Cass R Sunstein; Emily A Thorson; Duncan J Watts; Jonathan L Zittrain
Journal:  Science       Date:  2018-03-08       Impact factor: 47.728

4.  The spread of true and false news online.

Authors:  Soroush Vosoughi; Deb Roy; Sinan Aral
Journal:  Science       Date:  2018-03-09       Impact factor: 47.728

5.  Structuring Health in Colorectal Cancer Screening Conversations: An Analysis of Intersecting Activity Systems.

Authors:  Heather Canary; Connie Bullis; Jennifer Cummings; Anita Y Kinney
Journal:  South Commun J       Date:  2015-11-04

6.  An unwelcome side effect of direct-to-consumer personal genome testing: raiding the medical commons.

Authors:  Amy L McGuire; Wylie Burke
Journal:  JAMA       Date:  2008-12-10       Impact factor: 56.272

7.  Common genetic risk for melanoma encourages preventive behavior change.

Authors:  Lori Diseati; Laura B Scheinfeldt; Rachel S Kasper; Ruixue Zhaoyang; Neda Gharani; Tara J Schmidlen; Erynn S Gordon; Cecili K Sessions; Susan K Delaney; Joseph P Jarvis; Norman Gerry; Michael Christman
Journal:  J Pers Med       Date:  2015-02-17

8.  Fighting COVID-19 Misinformation on Social Media: Experimental Evidence for a Scalable Accuracy-Nudge Intervention.

Authors:  Gordon Pennycook; Jonathon McPhetres; Yunhao Zhang; Jackson G Lu; David G Rand
Journal:  Psychol Sci       Date:  2020-06-30

9.  Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19: a systematic review and meta-analysis.

Authors:  Derek K Chu; Elie A Akl; Stephanie Duda; Karla Solo; Sally Yaacoub; Holger J Schünemann
Journal:  Lancet       Date:  2020-06-01       Impact factor: 79.321

10.  Less than you think: Prevalence and predictors of fake news dissemination on Facebook.

Authors:  Andrew Guess; Jonathan Nagler; Joshua Tucker
Journal:  Sci Adv       Date:  2019-01-09       Impact factor: 14.136

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