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%T Identifying events using computer-assisted text analysis
%A Landmann, Juliane
%A Züll, Cornelia
%J Social Science Computer Review
%N 4
%P 483-497
%V 26
%D 2008
%@ 0894-4393
%~ GESIS
%> https://nbn-resolving.org/urn:nbn:de:0168-ssoar-443686
%X 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)
%C USA
%G en
%9 journal article
%W GESIS - http://www.gesis.org
%~ SSOAR - http://www.ssoar.info