Literature DB >> 30466105

Current Social Media Conversations about Genetics and Genomics in Health: A Twitter-Based Analysis.

Caitlin G Allen1, Brittany Andersen2, Muin J Khoury3, Megan C Roberts4.   

Abstract

BACKGROUND: The growing availability of genomic information to the public may spur discussion about genetics and genomics on social media. Sites, including Twitter, provide a unique space for the public to access and discuss health information. The objective of this study was to better understand how social media users are sharing information about genetics and genomics in health and healthcare and what information is most commonly discussed among Twitter users.
METHODS: We obtained tweets with specific genetics- and genomics-related keywords from Crimson Hexagon. We used Boolean logic to collect tweets containing chosen keywords within the timeframe of October 1, 2016, to October 1, 2017. Features of the software were used to identify salient themes in conversation, conduct an emergent content analysis, and gather key demographic information.
RESULTS: We obtained 347,196 tweets from our search. There was a monthly average volume of 28,432 tweets. The five categories of tweets included: genetic disorders/disease (45.3%), health (15.6%), genomics (8%), and genetic testing (7.3%). Top influencers in the conversation included news outlets and universities.
CONCLUSIONS: This content analysis provides insight about the types of conversation related to genomics and health. Conversations about genomics are occurring on Twitter, and they frequently emphasize rare genetic diseases and genetic disorders. These discussions tend to be driven by key influencers who primarily include news media outlets. Further understanding of the discussions related to genomics and health in social media may offer insight about topics of importance to the public.
© 2018 This is a work of the U.S. Government and is not subject to copyright protection in the United States. Foreign copyright may apply. Published by S. Karger AG, Basel.

Entities:  

Keywords:  Genetics; Genomics; Health information; Social media; Twitter

Mesh:

Year:  2018        PMID: 30466105      PMCID: PMC6504926          DOI: 10.1159/000494381

Source DB:  PubMed          Journal:  Public Health Genomics        ISSN: 1662-4246            Impact factor:   2.000


  18 in total

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3.  Seeking social support on Facebook for children with Autism Spectrum Disorders (ASDs).

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4.  Angelina Jolie's faulty gene: newspaper coverage of a celebrity's preventive bilateral mastectomy in Canada, the United States, and the United Kingdom.

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5.  Evidence-based patient choice and consumer health informatics in the Internet age.

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6.  The patient physician relationship in the Internet age: future prospects and the research agenda.

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Journal:  J Med Internet Res       Date:  2001 Apr-Jun       Impact factor: 5.428

7.  The role of an online community for people with a rare disease: content analysis of messages posted on a primary biliary cirrhosis mailinglist.

Authors:  Judith N Lasker; Ellen D Sogolow; Rebecca R Sharim
Journal:  J Med Internet Res       Date:  2005-03-31       Impact factor: 5.428

8.  Disease detection or public opinion reflection? Content analysis of tweets, other social media, and online newspapers during the measles outbreak in The Netherlands in 2013.

Authors:  Liesbeth Mollema; Irene Anhai Harmsen; Emma Broekhuizen; Rutger Clijnk; Hester De Melker; Theo Paulussen; Gerjo Kok; Robert Ruiter; Enny Das
Journal:  J Med Internet Res       Date:  2015-05-26       Impact factor: 5.428

9.  Engagement with health agencies on twitter.

Authors:  Sanmitra Bhattacharya; Padmini Srinivasan; Phil Polgreen
Journal:  PLoS One       Date:  2014-11-07       Impact factor: 3.240

10.  Multifactorial beliefs about the role of genetics and behavior in common health conditions: prevalence and associations with participant characteristics and engagement in health behaviors.

Authors:  Erika A Waters; Jaclyn Muff; Jada G Hamilton
Journal:  Genet Med       Date:  2014-05-15       Impact factor: 8.822

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Journal:  Hered Cancer Clin Pract       Date:  2020-10-23       Impact factor: 2.857

Review 2.  Personalized Medicine Implementation with Non-traditional Data Sources: A Conceptual Framework and Survey of the Literature.

Authors:  Casey Overby Taylor; Peter Tarczy-Hornoch
Journal:  Yearb Med Inform       Date:  2019-08-16
  2 in total

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