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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