When the message receiver is a bot: The tools of the French School of Discourse analysis to analyze the failure of the chatbots

Document Type : Original Article

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French Language Department, Faculty of Arts, Helwan University

Abstract

Chatbots are becoming a must nowadays. Artificial Intelligence is upgrading and making it easier to have upgrade chatbots that can help humans in many ways, helping them to save time and effort. A huge number of enterprises are using them such as in fashion, makeup, and banking. Humans can chat with them through applications to get information instantly and from their places. But these chats do not satisfy the web users who are disappointed by them. Are there common characteristics of chatbots that make them fail in understanding and serving web users?
To answer this problem, three authentic chatbots were used in the analysis according to the French school of Discourse Analysis, using the conditions of production of the corpus and crossing them with linguistic tools of pragmatics, particularly speech acts, norms of interaction, and face work, to draw up the characteristics of the chatbots. 

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