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?:abstract
  • Events as elections, significant changes in laws, but also extreme weather conditions, may affect societal values and, consequently, public opinion. Accordingly, a central assumption for public opinion surveys in that respondents behavior is influenced by significant events. It is therefore necessary to consider the impact of potential events when designing a survey and, whenever possible, to control for these. To support the documentation of such social events, the authors have developed a procedure to identify events using computer-assisted text analysis. Event words are selected and grouped by means of exploratory factor analysis based on a comparison of a large text corpus that forms the reference for a smaller text corpus consisting of media items on significant events. As a result, the factors represent significant events during a specific time period. (author's abstract) (xsd:string)
?:contributor
?:dateModified
  • 2008 (xsd:gyear)
?:datePublished
  • 2008 (xsd:gyear)
?:doi
  • 10.1177/0894439307313703 ()
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  • true (xsd:boolean)
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  • en (xsd:string)
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?:issn
  • 0894-4393 ()
?:issueNumber
  • 4 (xsd:string)
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?:name
  • Identifying events using computer-assisted text analysis (xsd:string)
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?:publicationType
  • Zeitschriftenartikel (xsd:string)
  • journal_article (en)
?:sourceInfo
  • GESIS-SSOAR (xsd:string)
  • In: Social Science Computer Review, 26, 2008, 4, 483-497 (xsd:string)
rdf:type
?:url
?:urn
  • urn:nbn:de:0168-ssoar-443686 ()
?:volumeNumber
  • 26 (xsd:string)