This special issue delves into the influence of artificial intelligence on discourse studies, focusing on its effects on linguistic research, education, and academic communication. AI-driven tools, particularly those in natural language processing, have significantly improved the efficiency of text analysis through methods like sentiment analysis, topic modeling, and automated coding. However, challenges persist, such as AI’s struggles with contextual understanding and ethical concerns related to bias and misinformation. Drawing from applied linguistics, pedagogy, and computer science, this issue critically explores how AI shapes digital language practices, academic authority, and knowledge creation. By combining theoretical insights with empirical studies, this collection sheds light on both the benefits and limitations of AI, encouraging researchers and educators to approach these technologies thoughtfully while making the most of their potential in discourse analysis and language studies.

The impact of AI on discourse analysis: Challenges and opportunities

Maci, Stefania Maria
;
2025

Abstract

This special issue delves into the influence of artificial intelligence on discourse studies, focusing on its effects on linguistic research, education, and academic communication. AI-driven tools, particularly those in natural language processing, have significantly improved the efficiency of text analysis through methods like sentiment analysis, topic modeling, and automated coding. However, challenges persist, such as AI’s struggles with contextual understanding and ethical concerns related to bias and misinformation. Drawing from applied linguistics, pedagogy, and computer science, this issue critically explores how AI shapes digital language practices, academic authority, and knowledge creation. By combining theoretical insights with empirical studies, this collection sheds light on both the benefits and limitations of AI, encouraging researchers and educators to approach these technologies thoughtfully while making the most of their potential in discourse analysis and language studies.
2025
19
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/5127379
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