The impact of AI on discourse analysis: Challenges and opportunities

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-01
DOI
https://doi.org/10.5281/zenodo.15250757
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of AI on discourse analysis: Challenges and opportunities

Zenodo (CERN European Organization for Nuclear Research)
Computational and Text Analysis Methods
article

The impact of AI on discourse analysis: Challenges and opportunities

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 41%
Computational and Text Analysis Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.