View in EDS PDF Full Text

Twittering the #Arabspring? An Empirical Content Analysis of Tweets

Saved in:
Bibliographic Details
Title: Twittering the #Arabspring? An Empirical Content Analysis of Tweets
Description: This study examines tweet content from key periods of the uprisings in Egypt and Syria of 2011 and 2012, generally known as the “Arab Spring”. Some authors and the mainstream media have suggested that these uprisings were significantly influenced and organised by Twitter and subsequently referred to them as “Twitter Revolution”. Other authors have strongly opposed this idea and attributed it to self-deception in the light of marvellous inventions of the Western World. They have suggested Twitter was predominantly used as an information-sharing network. In an effort to contribute data to this debate, this study analyses tweet content from three different observation periods; two tweet datasets were collected from other academics and a third one was crawled from the Twitter API; this process made use of the crawling tool cURL and the database software mongoDB. The combined tweet dataset contained about 1.9 million tweets out of which a sample of 1945 tweets was drawn. This sample was then evaluated in a quantitative content analysis according to a coding manual. These codes were entered into the statistical analysis software SPSS, in which they were also processed.
Authors: Sieben, Johannes
Resource Type: eBook.
Subjects: Social media--Data processing, Arab Spring, 2010---Blogs
Categories: HISTORY / World
Database: eBook Collection (EBSCOhost)
FullText Links:
  – Type: ebook-pdf
Text:
  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 1006938
RelevancyScore: 1064
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1063.91076660156
IllustrationInfo
ImageInfo – Size: thumb
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$1006938$PDF&s=r
– Size: medium
  Target: https://rps2images.ebscohost.com/rpsweb/othumb?id=NL$1006938$PDF&s=d
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Twittering the #Arabspring? An Empirical Content Analysis of Tweets
– Name: Abstract
  Label: Description
  Group: Ab
  Data: This study examines tweet content from key periods of the uprisings in Egypt and Syria of 2011 and 2012, generally known as the “Arab Spring”. Some authors and the mainstream media have suggested that these uprisings were significantly influenced and organised by Twitter and subsequently referred to them as “Twitter Revolution”. Other authors have strongly opposed this idea and attributed it to self-deception in the light of marvellous inventions of the Western World. They have suggested Twitter was predominantly used as an information-sharing network. In an effort to contribute data to this debate, this study analyses tweet content from three different observation periods; two tweet datasets were collected from other academics and a third one was crawled from the Twitter API; this process made use of the crawling tool cURL and the database software mongoDB. The combined tweet dataset contained about 1.9 million tweets out of which a sample of 1945 tweets was drawn. This sample was then evaluated in a quantitative content analysis according to a coding manual. These codes were entered into the statistical analysis software SPSS, in which they were also processed.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Sieben%2C+Johannes%22">Sieben, Johannes</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Social+media--Data+processing%22">Social media--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Arab+Spring%2C+2010---Blogs%22">Arab Spring, 2010---Blogs</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22HISTORY+%2F+World%22">HISTORY / World</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=1006938
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 909.097492708312
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Social media--Data processing
        Type: general
      – SubjectFull: Arab Spring, 2010---Blogs
        Type: general
    Titles:
      – TitleFull: Twittering the #Arabspring? An Empirical Content Analysis of Tweets
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sieben, Johannes
      – PersonEntity:
          Name:
            NameFull: Sieben, Johannes
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2015
            – D: 25
              M: 06
              Type: profile
              Y: 2015
          Identifiers:
            – Type: isbn-print
              Value: 9783954891061
            – Type: isbn-electronic
              Value: 9783954896066
          Titles:
            – TitleFull: Twittering the #Arabspring? An Empirical Content Analysis of Tweets
              Type: main
ResultId 1