Covertly communicated hate speech: A corpus-assisted pragmatic study.

While online hate speech is a perennial problem of modern times, there is still a lack of academic research on the topic. This could be attributed to the fact that hate speech does not always have clearly distinguishable linguistic features. As such, hate speech could well be communicated covertly. Consequently, and in order to better understand the phenomenon of 'covertly communicated' hate speech, one would need to first investigate the overarching thematic and discursive patterns in which hate speech is rooted. This study is a step in this direction. Assisted by a corpus-informed pragmatic analysis of hate language on Instagram , it focuses on hate language directed at Afghan immigrants in Iran, a rarely explored context involving one of the world's most widespread population movements and displacement patterns. The findings of the study lay bare the fact that, in the corpus under investigation, overt expressions of hate were few and far between, to the extent that they did not have meaningful salience in the data. In this respect, the study indicates how a number of recurring discursive patterns provide the foundation on which covert ways of expressing hate are based. • Provides a corpus-assisted analysis of hate language as found on Instagram. • Focuses on an underexplored context involving Afghan immigrants. • Reveals that hate speech may lack markedly hateful language. • Reveals that hate language may revolve around covert ways of expressing hatred. [ABSTRACT FROM AUTHOR]