In search of hate speech in Lithuanian public discourse: A corpus-assisted analysis of online comments

Abstract

Abstract The present paper aims to report on the preliminary findings from the initial stages of ongoing research on hate speech in Lithuanian online comments. Comments are marked strongly by such phenomena as flaming and trolling; therefore, in this genre we can expect a high degree of hostility, obscenity, high incidence of insults and aggressive lexis, which can inflict harm to individuals or organizations. The goal of the current research is thus to make an attempt to identify some features of verbal aggression in Lithuanian by applying the principles and instruments of corpus linguistics, which proved to be a useful approach when dealing with such issues as trolling. It is expected that further analysis of those features will help to identify and define formal linguistic criteria that could facilitate identification of hate speech in public discourse. The data has been obtained from the Lithuanian corpus of user-generated comments collected from one major Lithuanian portal, www.delfi.lt. The corpus consists of all the comments posted in the year 2014 and in total includes 17,909 comments, which make up 1,160,109 words. For the initial data analysis, linguistic aspects, such as wordlists, collocations, and formulaic language, were analysed by using the AntConc software. The interpretations of the results are still very tentative, but what the initial findings show is that overt aggression does not feature among the most frequent and most salient features of comments. Aggression is, in our data, indirectly expressed through creative language use, which can mainly be studied through qualitative analysis.