Literature DB >> 27196641

Emotional Feedback and the Viral Spread of Social Media Messages About Autism Spectrum Disorders.

Christopher A Bail1.   

Abstract

OBJECTIVE: To determine whether exchanges of emotional language between health advocacy organizations and social media users predict the spread of posts about autism spectrum disorders (ASDs).
METHODS: I created a Facebook application that tracked views of ASD advocacy organizations' posts between July 19, 2011, and December 18, 2012. I evaluated the association between exchanges of emotional language and viral views of posts, controlling for additional characteristics of posts, the organizations that produced them, the social media users who viewed them, and the broader social environment.
RESULTS: Exchanges of emotional language between advocacy organizations and social media users are strongly associated with viral views of posts.
CONCLUSIONS: Social media outreach may be more successful if organizations invite emotional dialogue instead of simply conveying information about ASDs. Yet exchanges of angry language may contribute to the viral spread of misinformation, such as the rumor that vaccines cause ASDs.

Entities:  

Mesh:

Year:  2016        PMID: 27196641      PMCID: PMC4984751          DOI: 10.2105/AJPH.2016.303181

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  16 in total

1.  Use of social media in health promotion: purposes, key performance indicators, and evaluation metrics.

Authors:  Brad L Neiger; Rosemary Thackeray; Sarah A Van Wagenen; Carl L Hanson; Joshua H West; Michael D Barnes; Michael C Fagen
Journal:  Health Promot Pract       Date:  2012-03

Review 2.  Web 2.0 for health promotion: reviewing the current evidence.

Authors:  Wen-ying Sylvia Chou; Abby Prestin; Claire Lyons; Kuang-yi Wen
Journal:  Am J Public Health       Date:  2012-11-15       Impact factor: 9.308

3.  Prevalence of autism spectrum disorder among children aged 8 years - autism and developmental disabilities monitoring network, 11 sites, United States, 2010.

Authors: 
Journal:  MMWR Surveill Summ       Date:  2014-03-28

4.  Diurnal and seasonal mood vary with work, sleep, and daylength across diverse cultures.

Authors:  Scott A Golder; Michael W Macy
Journal:  Science       Date:  2011-09-30       Impact factor: 47.728

5.  Mercury, vaccines, and autism: one controversy, three histories.

Authors:  Jeffrey P Baker
Journal:  Am J Public Health       Date:  2008-01-02       Impact factor: 9.308

Review 6.  Costs of autism spectrum disorders in the United Kingdom and the United States.

Authors:  Ariane V S Buescher; Zuleyha Cidav; Martin Knapp; David S Mandell
Journal:  JAMA Pediatr       Date:  2014-08       Impact factor: 16.193

7.  Communication about childhood obesity on Twitter.

Authors:  Jenine K Harris; Sarah Moreland-Russell; Rachel G Tabak; Lindsay R Ruhr; Ryan C Maier
Journal:  Am J Public Health       Date:  2014-05-15       Impact factor: 9.308

8.  Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study.

Authors:  James H Fowler; Nicholas A Christakis
Journal:  BMJ       Date:  2008-12-04

9.  The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place.

Authors:  Lewis Mitchell; Morgan R Frank; Kameron Decker Harris; Peter Sheridan Dodds; Christopher M Danforth
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

10.  Virality prediction and community structure in social networks.

Authors:  Lilian Weng; Filippo Menczer; Yong-Yeol Ahn
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

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  7 in total

1.  Identifying features of source and message that influence the retweeting of health information on social media during the COVID-19 pandemic.

Authors:  Jingzhong Xie; Liqun Liu
Journal:  BMC Public Health       Date:  2022-04-22       Impact factor: 4.135

Review 2.  Cluster anxiety-related adverse events following immunization (AEFI): An assessment of reports detected in social media and those identified using an online search engine.

Authors:  Tiffany A Suragh; Smaragda Lamprianou; Noni E MacDonald; Anagha R Loharikar; Madhava R Balakrishnan; Oleg Benes; Terri B Hyde; Michael M McNeil
Journal:  Vaccine       Date:  2018-08-29       Impact factor: 3.641

Review 3.  'Falsehood flies, and the truth comes limping after it': social media and public health.

Authors:  Justin B Moore; Jenine K Harris; Ellen T Hutti
Journal:  Curr Opin Psychiatry       Date:  2021-09-01       Impact factor: 4.787

4.  Tweet for Behavior Change: Using Social Media for the Dissemination of Public Health Messages.

Authors:  Aisling Gough; Ruth F Hunter; Oluwaseun Ajao; Anna Jurek; Gary McKeown; Jun Hong; Eimear Barrett; Marbeth Ferguson; Gerry McElwee; Miriam McCarthy; Frank Kee
Journal:  JMIR Public Health Surveill       Date:  2017-03-23

5.  Strategies to Improve Health Communication: Can Health Professionals be Heroes?

Authors:  Eva L Jenkins; Jasmina Ilicic; Annika Molenaar; Shinyi Chin; Tracy A McCaffrey
Journal:  Nutrients       Date:  2020-06-22       Impact factor: 5.717

6.  [Contrasting Misinformation and Real-Information Dissemination Network Structures on Social Media During a Health Emergency].

Authors:  Lida Safarnejad; Qian Xu; Yaorong Ge; Siddharth Krishnan; Arunkumar Bagarvathi; Shi Chen
Journal:  Rev Panam Salud Publica       Date:  2021-05-12

7.  Medical and Health-Related Misinformation on Social Media: Bibliometric Study of the Scientific Literature.

Authors:  Andy Wai Kan Yeung; Anela Tosevska; Elisabeth Klager; Fabian Eibensteiner; Christos Tsagkaris; Emil D Parvanov; Faisal A Nawaz; Sabine Völkl-Kernstock; Eva Schaden; Maria Kletecka-Pulker; Harald Willschke; Atanas G Atanasov
Journal:  J Med Internet Res       Date:  2022-01-25       Impact factor: 5.428

  7 in total

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