MULTIMODAL DISCOURSE ANALYSIS OF SARCASM IN ENGLISH MEDIA AND NEWS ARTICLES

With the rapid development of information technologies, implementation visual content has become a complementary component social discourse, particularly in media and news sectors. In this respect, it is increasingly important to pay huge attention literacy relevant processing. Sarcasm, one most widely used language choices can easily be part any or article. Sarcastic remarks are for numerous reasons, namely, indirectly express contempt, pretend an attitude, mock situation person, perhaps, they more creative solutions anger-provoking situations. The aim present research detect sarcastic messages articles through multimodal markers discourse. dataset analyzed achieve above-mentioned goal derived from American British platforms Politico, Guardian, Sun.