FINDING SOCIAL AND POLITICAL PREJUDICES IN PUBLIC DISCOURSE? A CASE STUDY ON THE 2007 AND 2012 PRESIDENTIAL FRENCH CAMPAIGNS

• Main Author: Fabienne Baider
• Format: Article
• Language: English
• Published: Nicolas Turenne 2014-06-01
• Series: Journal of Data Mining and Digital Humanities
• Subjects: [shs:langue] humanities and social sciences/linguistics; [shs:langue] sciences de l'homme et société/linguistique; automatic reading; gender stereotypes; journalistic discourse; french presidential campaign
• Online Access: https://jdmdh.episciences.org/16/pdf

In this research we suggest that working on a journalistic corpus with specific softwares can help studying linguistic patterns and choices which are made on the basis of political affiliation or gender stereotypes. The software SEMY for instance gives semantic profiles semi-automatically, ANTCONC gives useful KWIC abstracts and TERMOSTAT works on discourse specificities. Using all of these tools we found convergent striking asymmetries between female and male candidates in journalistic discourse (however conditionally) as far as our corpus dedicated to the 2007 and the 2012 presidential campaigns are concerned. Social gender' (i.e. stereotypical expectations about who will be a typical member of a given category) and / or political favoritism affect the representation of leadership in discourse and may affect in turn the readership, hence the electorate.