The impact of AI on discourse analysis: Challenges and opportunities

This special issue of the International Journal of Language Studies offers a new approach to AI in the context of discourse analysis and uses case studies, sample analyses and practical examples to show how AI can be integrated with quantitative and qualitative approaches. It encourages critical engagement with the topic and invites the reader to consider different viewpoints, evaluate evidence and reflect on the impact of AI, technology and discourse analysis in different contexts. For this reason, the volume is an important resource for discourse analysts or for teaching applied linguistics, corpus linguistics and more generally language studies using AI and other tools, as students will understand the importance of critical thinking when using AI.
The contributions included address the challenges and opportunities posed by AI-generated texts and cover topics such as bias, misinformation and the need for human oversight. In addition, the volume explores innovative methods, tools and approaches to language teaching and learning. Their insights will converge in a multidisciplinary effort to devise and build advanced networks of knowledge to facilitate the interpretation of data in the field. With such an interdisciplinary perspective, the volume integrates findings from applied linguistics & discourse analysis, pedagogy, and computer science. It encourages critical analysis and reflection on the ethical considerations associated with AI.
The arrangement of contributions has been designed to create a logical progression of ideas that build on previous discussions. For example, papers dealing with theoretical frameworks or fundamental concepts precede studies dealing with practical applications or case studies. Given the diverse topics covered in this special issue, the interdisciplinary perspectives and cross-cutting themes are emphasized. This includes the integration of findings from different disciplines (i.e., applied linguistics & discourse analysis, pedagogy, and computer science) to provide a holistic understanding of the topic