Literature DB >> 25656678

Communicating Ebola through social media and electronic news media outlets: A cross-sectional study.

Mowafa Househ1.   

Abstract

Social media and electronic news media activity are an important source of information for the general public. Yet, there is a dearth of research exploring the use of Twitter and electronic news outlets during significant worldly events such as the recent Ebola Virus scare. The purpose of this article is to investigate the use of Twitter and electronic news media outlets in communicating Ebola Virus information. A cross-sectional survey of Twitter data and Google News Trend data from 30 September till 29 October, 2014 was conducted. Between 30 September and 29 October, there were approximately 26 million tweets (25,925,152) that contained the word Ebola. The highest number of correlated activity for Twitter and electronic news outlets occurred on 16 October 2014. Other important peaks in Twitter data occurred on 1 October, 6 October, 8 October, and 12 October, 2014. The main influencers of the Twitter feeds were news media outlets. The study reveals a relationship between electronic news media publishing and Twitter activity around significant events such as Ebola. Healthcare organizations should take advantage of the relationship between electronic news media and trending events on social media sites such as Twitter and should work on developing social media campaigns in co-operation with leading electronic news media outlets (e.g. CNN, Yahoo, Reuters) that can have an influence on social media activity.
© The Author(s) 2015.

Entities:  

Keywords:  Ebola; Twitter; electronic news media; social media; virus

Mesh:

Year:  2015        PMID: 25656678     DOI: 10.1177/1460458214568037

Source DB:  PubMed          Journal:  Health Informatics J        ISSN: 1460-4582            Impact factor:   2.681


  25 in total

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5.  Modeling the effect of comprehensive interventions on Ebola virus transmission.

Authors:  Mingwang Shen; Yanni Xiao; Libin Rong
Journal:  Sci Rep       Date:  2015-10-30       Impact factor: 4.379

6.  Communicating infectious disease prevalence through graphics: Results from an international survey.

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7.  Mining the Characteristics of COVID-19 Patients in China: Analysis of Social Media Posts.

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8.  Assessing Ebola-related web search behaviour: insights and implications from an analytical study of Google Trends-based query volumes.

Authors:  Cristiano Alicino; Nicola Luigi Bragazzi; Valeria Faccio; Daniela Amicizia; Donatella Panatto; Roberto Gasparini; Giancarlo Icardi; Andrea Orsi
Journal:  Infect Dis Poverty       Date:  2015-12-10       Impact factor: 4.520

9.  Publications in PubMed on Ebola and the 2014 outbreak.

Authors:  Andrea Ballabeni; Andrea Boggio
Journal:  F1000Res       Date:  2015-03-13

10.  Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature.

Authors:  Vincenza Gianfredi; Nicola Luigi Bragazzi; Daniele Nucci; Mariano Martini; Roberto Rosselli; Liliana Minelli; Massimo Moretti
Journal:  Front Public Health       Date:  2018-03-21
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