Language of Persuasion and Misrepresentation in Business Communication: A Textual Detection Approach

Business communication digitisation has reorganised the process of persuasive discourse, whichallows not only greater transparency but also advanced deception. This inquiry synthesises classicalrhetoric and communication psychology with linguistic theory and empirical studies in the financialreporting, sustainability discourse, and digital marketing to explain how deceptive language can besystematically detected using persuasive lexicon. In controlled settings, detection accuracies of greaterthan 99% were achieved by using computational textual analysis as well as personalised transformermodels. However, reproducing this performance in multilingual settings is also problematic and,to a large extent, this is because it is not easy to find sufficient data, and because few multilingualtext-processing infrastructures are in place. This evidence shows that there has been an increasinggap between the theoretical representations of communication and those empirically approximated,and therefore, there is a need to have strong automatic text-identification systems where AI-baseddiscourse is becoming more realistic in communicating with humans.