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Digital and Internet-Based Research Methods in Applied Linguistics
This edited volume examines topics related to digital and internet-based research methods in the interdisciplinary field of applied linguistics. The book brings together internationally recognized experts with diverse interests from across the field. Covered are key approaches, methods, tools, and sites that are commonly leveraged when performing research that involves digital tools or online spaces. This text is intended to be introductory and to be accessible to graduate students and faculty who may be new to a given area. As such, each chapter introduces readers to the focal topic, explains frequently asked research questions, outlines common procedures, showcases example studies, and discusses key ethical considerations. The goal is for readers to walk away with an advanced understanding of how to conduct different types of research, as well as develop their own ideas for future directions.
[Research Methods in Applied Linguistics, 15] 2026. xii, 433 pp.
Publishing status: Available
Published online on 5 January 2026
Published online on 5 January 2026
© John Benjamins
Table of Contents
- Notes on contributors | pp. vii–xii
- Chapter 1. IntroductionMatt Kessler | pp. 1–7
- Section I. Methodologies and approaches
- Chapter 2. Research synthesisSin Wang Chong | pp. 10–34
- Chapter 3. Digital discourse approachesTrena M. Paulus | pp. 35–57
- Chapter 4. Netnography and digital ethnographic approachesPeter I. De Costa, Nari Kim and Sonja Mecham | pp. 58–80
- Section II. Common sites for data collection
- Chapter 5. Online courses and education platformsDawn Bikowski | pp. 82–102
- Chapter 6. Social mediaRhonda Oliver and Sender Dovchin | pp. 103–122
- Chapter 7. Digital gamesFrederick J. Poole and Daniel H. Dixon | pp. 123–146
- Chapter 8. Mobile applications for language learningYijen Wang, Wenzheng Huang and Glenn Stockwell | pp. 147–171
- Chapter 9. Web-based corpora and web-based corpus platformsJ. Elliott Casal, Seth King and Pejman Javanmardi | pp. 172–191
- Section III. Data collection methods
- Chapter 10. Online surveysDylan Burton and Wenyue Ma | pp. 194–218
- Chapter 11. Online interviewsWendy Li and Yachao Sun | pp. 219–243
- Chapter 12. Screen captureFrancesca Marino and Tania Ferronato | pp. 244–264
- Chapter 13. Eye-trackingAna Pellicer-Sánchez, Andi Wang and Kathy Conklin | pp. 265–288
- Chapter 14. Response time dataStephen Skalicky | pp. 289–309
- Chapter 15. Keystroke loggingYu Tian and Scott Crossley | pp. 310–335
- Section IV. Web-based tools for data analyses
- Chapter 16. Automated text analyzersZimeng Shao, Yuanheng (Arthur) Wang and Xiaofei Lu | pp. 338–361
- Chapter 17. Generative artificial intelligence toolsYiran Xu and Charlene Polio | pp. 362–385
- Chapter 18. JASP for (web-based) statisticsHanneke Loerts and Greg Poarch | pp. 386–411
- Chapter 19. Transcription toolsWing Yee Jenifer Ho | pp. 412–432
- Index | p. 433