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Online Hate Speech in the European Union


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Produktinformationen
cover
cover
Artikel-Nr.:
     858A-9783319726038
Hersteller:
     Springer Verlag
Herst.-Nr.:
     9783319726038
EAN/GTIN:
     9783319726038
Suchbegriffe:
Bücher über Sprachwissenschaft
Sprach-, Literaturwissenschaftsbüch...
Sprach- und Literaturwissenschaftsb...
sprach- und literaturwissenschaftsb...
This open access book reports on research carried out as part of the European Union co-funded C.O.N.T.A.C.T. project which targeted hate speech and hate crime across a number of EU member states. It showcases the bearing that discourse analytic research can have on our understanding of this phenomenon that is a growing global cause for concern. Although 'hate speech' is often incorporated in legal and policy documents, there is no universally accepted definition, which in itself warrants research into how hatred is both expressed and perceived. The research project synthesises discourse analytic and corpus linguistics techniques, and presents its key findings here. The focus is especially on online comments posted in reaction to news items that could trigger discrimination, as well as on the folk perception of online hate speech as revealed through semi-structured interviews with young individuals across the various partner countries.
Weitere Informationen:
Author:
Stavros Assimakopoulos; Fabienne H. Baider; Sharon Millar; Natalie Alkiviadou; César Arroyo López; Pablo Bernardino Tempesta; Tatsiana Chulitskaya; Anna Constantinou; Klaus Geyer; ?ukasz Grabowski; Uladzislau Ivanou; Monika Kopytowska; Roberto Moreno López; Rasmus Nielsen; Valentina Oliviero; Anastasia Petrou; Ernesto Russo; Rebecca Vella Muskat; Anna Vibeke Lindø; Georgia Whitaker; Julita Wo?niak
Verlag:
Springer International Publishing
Sprache:
eng
Weitere Suchbegriffe: hate speech research, discourse analysis of social media, corpus linguistics methods, C.O.N.T.A.C.T. project European Union, hate speech in reaction to news, racism in online comments forum, discourse analytic research, Open Access, discourse analysis, corpus linguistics
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