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A Multimodal Pragmatic Analysis of 2024 American Presidential Elections
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Journal Article
A Multimodal Pragmatic Analysis of 2024 American Presidential Elections
2025
Overview
By examining selected cartoons, the study attempts to investigate the impact of the multimodal pragmatic approach on the analysis of candidate prospects in the 24 American Presidential elections. In addition, such cartoons and clusters within cartoons are intended to be employed as an inference tool to predict presidential candidates' highest probability of winning and highest percentage of losing. There is a proposed multimodal pragmatic model that is detailed and simplified by the researcher constituting major components: type of data, clusters, a meta-information, contradictions and implicated conclusion. Such a suggested multimodal pragmatic model is derived from Barthes's (1977) and Pastra's (2008) models. Both Barthes's (1977) and Pastra's (2008) models are redundant, superfluous and sometimes confusing. In accordance with the clusters including verbal and visual content under study both Harris (the winner) and Trump (the loser) have the same percentage of clusters. To conclude, Harris, that has the lowest ratio of losing, is more fortunate than both Trump having the lowest percentage of winning and Biden having the highest percentage of losing in presidential race. Thus, the study has scrutinized the impact of the multimodal pragmatic approach on the analysis of candidate prospects in the 24 American Presidential elections. The researcher has also demonstrated that such cartoons and clusters within cartoons can be used as an inference tool to predict the likelihood of presidential candidates winning and losing.
Publisher
جامعة عين شمس - كلية البنات للآداب والعلوم والتربية
