View in EDS HTML Full Text PDF Full Text

Ebola and Localized Blame on Social Media: Analysis of Twitter and Facebook Conversations During the 2014-2015 Ebola Epidemic.

Saved in:
Bibliographic Details
Title: Ebola and Localized Blame on Social Media: Analysis of Twitter and Facebook Conversations During the 2014-2015 Ebola Epidemic.
Authors: Roy, Melissa (AUTHOR), Moreau, Nicolas (AUTHOR), Rousseau, Cécile (AUTHOR), Mercier, Arnaud (AUTHOR), Wilson, Andrew (AUTHOR), Atlani-Duault, Laëtitia (AUTHOR)
Source: Culture, Medicine & Psychiatry. Mar2020, Vol. 44 Issue 1, p56-79. 24p. 2 Charts, 2 Graphs.
Subjects: Social media, Blame, Public opinion, Social groups, Medical communication, Ebola virus disease, Qualitative research, Communication, Health attitudes, Epidemics
Geographic Terms: West Africa
Abstract: This study aimed to analyze main groups accused on social media of causing or spreading the 2014-2016 Ebola epidemic in West Africa. In this analysis, blame is construed as a vehicle of meaning through which the lay public makes sense of an epidemic, and through which certain classes of people become "figures of blame". Data was collected from Twitter and Facebook using key word extraction, then categorized thematically. Our findings indicate an overall proximate blame tendency: blame was typically cast on "near-by" figures, namely national governments, and less so on "distant" figures, such as generalized figures of otherness ("Africans", global health authorities, global elites). Our results also suggest an evolution of online blame. In the early stage of the epidemic, blame directed at the affected populations was more prominent. However, during the peak of the outbreak, the increasingly perceived threat of inter-continental spread was accompanied by a progressively proximal blame tendency, directed at figures with whom the social media users had pre-existing biopolitical frustrations. Our study proposes that pro-active and on-going analysis of blame circulating in social media can usefully help to guide communications strategies, making them more responsive to public perceptions. [ABSTRACT FROM AUTHOR]
Copyright of Culture, Medicine & Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 141512692
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Ebola and Localized Blame on Social Media: Analysis of Twitter and Facebook Conversations During the 2014-2015 Ebola Epidemic.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Roy%2C+Melissa%22">Roy, Melissa</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moreau%2C+Nicolas%22">Moreau, Nicolas</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rousseau%2C+Cécile%22">Rousseau, Cécile</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mercier%2C+Arnaud%22">Mercier, Arnaud</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wilson%2C+Andrew%22">Wilson, Andrew</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Atlani-Duault%2C+Laëtitia%22">Atlani-Duault, Laëtitia</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Culture%2C+Medicine+%26+Psychiatry%22">Culture, Medicine & Psychiatry</searchLink>. Mar2020, Vol. 44 Issue 1, p56-79. 24p. 2 Charts, 2 Graphs.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Blame%22">Blame</searchLink><br /><searchLink fieldCode="DE" term="%22Public+opinion%22">Public opinion</searchLink><br /><searchLink fieldCode="DE" term="%22Social+groups%22">Social groups</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+communication%22">Medical communication</searchLink><br /><searchLink fieldCode="DE" term="%22Ebola+virus+disease%22">Ebola virus disease</searchLink><br /><searchLink fieldCode="DE" term="%22Qualitative+research%22">Qualitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Communication%22">Communication</searchLink><br /><searchLink fieldCode="DE" term="%22Health+attitudes%22">Health attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Epidemics%22">Epidemics</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22West+Africa%22">West Africa</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study aimed to analyze main groups accused on social media of causing or spreading the 2014-2016 Ebola epidemic in West Africa. In this analysis, blame is construed as a vehicle of meaning through which the lay public makes sense of an epidemic, and through which certain classes of people become "figures of blame". Data was collected from Twitter and Facebook using key word extraction, then categorized thematically. Our findings indicate an overall proximate blame tendency: blame was typically cast on "near-by" figures, namely national governments, and less so on "distant" figures, such as generalized figures of otherness ("Africans", global health authorities, global elites). Our results also suggest an evolution of online blame. In the early stage of the epidemic, blame directed at the affected populations was more prominent. However, during the peak of the outbreak, the increasingly perceived threat of inter-continental spread was accompanied by a progressively proximal blame tendency, directed at figures with whom the social media users had pre-existing biopolitical frustrations. Our study proposes that pro-active and on-going analysis of blame circulating in social media can usefully help to guide communications strategies, making them more responsive to public perceptions. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Culture, Medicine & Psychiatry is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=141512692
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11013-019-09635-8
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 56
    Subjects:
      – SubjectFull: Social media
        Type: general
      – SubjectFull: Blame
        Type: general
      – SubjectFull: Public opinion
        Type: general
      – SubjectFull: Social groups
        Type: general
      – SubjectFull: Medical communication
        Type: general
      – SubjectFull: Ebola virus disease
        Type: general
      – SubjectFull: Qualitative research
        Type: general
      – SubjectFull: Communication
        Type: general
      – SubjectFull: Health attitudes
        Type: general
      – SubjectFull: Epidemics
        Type: general
      – SubjectFull: West Africa
        Type: general
    Titles:
      – TitleFull: Ebola and Localized Blame on Social Media: Analysis of Twitter and Facebook Conversations During the 2014-2015 Ebola Epidemic.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Roy, Melissa
      – PersonEntity:
          Name:
            NameFull: Moreau, Nicolas
      – PersonEntity:
          Name:
            NameFull: Rousseau, Cécile
      – PersonEntity:
          Name:
            NameFull: Mercier, Arnaud
      – PersonEntity:
          Name:
            NameFull: Wilson, Andrew
      – PersonEntity:
          Name:
            NameFull: Atlani-Duault, Laëtitia
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2020
              Type: published
              Y: 2020
          Identifiers:
            – Type: issn-print
              Value: 0165005X
          Numbering:
            – Type: volume
              Value: 44
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Culture, Medicine & Psychiatry
              Type: main
ResultId 1