A MULTIMODAL DISCOURSE ANALYSIS OF SARCASM IN ENGLISH MEDIA AND NEWS ARTICLES

Authors

DOI:

https://doi.org/10.46991/AFA/2022.18.2.059

Keywords:

sarcasm, multimodality, social discourse, media and news articles, multimodal discourse analysis

Abstract

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

 

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References

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Sources of Data

First dog on the moon. (2022, September). The Guardian. Retrieved September 26, 2022.

Levels of multimodality within multimodal learning. (2021, January). ResearchGate. Retrieved September 23, 2022.

Was it wrong to mock the perky boffins attempting to de-extinct the thylacine??! (2022, September 2). The Guardian. Retrieved September 26, 2022.

Wills' grief.Prince William reveals moments of sadness ‘catch him out’ as he grieves the Queen with Princess Kate. (2022, September 22). The Sun. Retrieved September 22, 2022.

Woohoo! Australia is punching above its weight in *checks notes* inequality! (2022, September 21). The Guardian. Retrieved September 26, 2022.

Wuerker, M. (2022, September 2). The six stages of grief after losing an election. Politico. Retrieved September 22, 2022.

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Published

2022-10-24

How to Cite

Chubaryan, A., & Danielyan, H. (2022). A MULTIMODAL DISCOURSE ANALYSIS OF SARCASM IN ENGLISH MEDIA AND NEWS ARTICLES. Armenian Folia Anglistika, 18(2 (26), 59–71. https://doi.org/10.46991/AFA/2022.18.2.059

Issue

Section

Linguistics