Multimodal Discourse Analysis of Visual Fake News Images


    Social media is a powerful source of information. The spread of fake news on social media has both immediate and long-term effects on its users, who may be reluctant to share and post genuine news for fear that it, will be misrepresented. This study examines five visual fake news images that were selected for investigation from a variety of social media sources. Multimodal discourse analysis theories are used to evaluate fake news photographs and explain their meaning potential by using the three semiotic functions of - representational, interactional, and compositional. The most essential goals of the fake news image are to invite cooperation and persuasion in the social relationships between the personalities and the viewers. The use of news captions, positive language, questions, and short phrases are the main features of the analyzed fake news discovered.

    Keywords: Multimodal, Discourse, Fake News, Three Meta-functions 

    DOI: 10.36349/zamijoh.2023.v02i02.003

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    author/ Bello Alim Babi

    journal/Zamfara IJOH Vol. 2, Issue 2