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Identifying events using computer-assisted text analysis

[journal article]

Landmann, Juliane; Züll, Cornelia

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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)
Keywords incident; survey research; response behavior; text analysis; computational linguistics; newspaper; European Social Survey; data capture; dictionary; statistical analysis; data collection method; media event; data processing; computer; deployment
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Document language English
Publication Year 2008
Page/Pages p. 483-497
Journal Social Science Computer Review, 26 (2008) 4
ISSN 0894-4393
Status Published Version; peer reviewed
Licence Deposit Licence - No Redistribution, No Modifications
This publication is with permission of the rights owner freely accessible due to an Alliance licence and a national licence (funded by the DFG, German Research Foundation) respectively.