
Research Methods for Digital Discourse Analysis
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Research Methods for Digital Discourse Analysis focuses on the key issues that any digital discourse analyst must consider, before tackling more specific topics and approaches, including how to work with multilingual or multimodal data. Emphasizing concrete, practical advice and illustrated with plentiful examples from research studies, each chapter introduces a new research dimension for consideration, briefly exploring how other discourse analysts have approached the topic before using an in-depth case study to highlight the main challenges and provide guidance on methodological decision-making. Supported by a range of pedagogical tools, including discussion questions and annotated further-reading lists, this book is an essential resource for students and any researcher new to analyzing digital discourse.
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Content
List of Figures
List of Tables
Acknowledgements
1. Introduction, Camilla Vásquez
2. The Role of Theory in Digital Discourse Analysis, Alla Tovares
3. Operationalizing Theoretical Constructs in Digital Discourse Analysis, Scott Kiesling
4. Data Sampling and Digital Discourse, Stephen Pihlaja
5. Data Collection, Preparation, and Management, Ramona Kreis
6. Research Ethics, Caroline Tagg and Tereza Spilioti
7. Digital Tools for Digital Discourse Analysis, Trena Paulus
8. Researching Multilingual Digital Discourse, Carmen Lee
9. Analyzing Multimodal Interactions in Social Media Contexts, Ruth Page
10. Analyzing Online Videos, Aditi Bhatia
11. Cross-Platform Analysis, Marie-Louise Brunner and Stefan Diemer
12. Using Corpus Linguistics to Study Online Data, Ursula Lutzky and Andrew Kehoe
13. Approaching Online Practices through Ethnography, Brook Bolander
14. Reflective Approaches to Analyzing Digital Discourse, Riki Thompson
Index
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