Research Methods for Digital Discourse Analysis

341 Pages·2022·13.202 MB·English

by  Camilla Vásquez (editor)

Research
Methods
for Digital
Discourse
Analysis
OTHER TITLES IN THE RESEARCH METHODS
IN LINGUISTICS SERIES:
Data Collection Research Methods in Applied Linguistics, by Heath Rose, Jim
McKinley and Jessica Briggs Baffoe-Djan
Experimental Research Methods in Language Learning, by Aek Phakiti
Experimental Research Methods in Sociolinguistics, by Katie Drager
Quantitative Research in Linguistics, 2nd edition, by Sebastian Rasinger
Research Methods in Applied Linguistics, edited by Brian Paltridge and
Aek Phakiti
Research Methods in Interpreting, by Sandra Hale and Jemina Napier
Research Methods in Linguistics, 2nd edition, edited by Lia Litosseliti
Research
Methods
for Digital
Discourse
Analysis
Edited by
Camilla Vásquez
BLOOMSBURY ACADEMIC
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First published in Great Britain 2022
Copyright © Camilla Vásquez and Contributors, 2022
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Patents Act, 1988, to be identified as Editor of this work.
For legal purposes the Acknowledgments on p. ix constitute an extension
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Contents
List of Illustrations vii
Acknowledgments ix
1 Introduction Camilla Vásquez
1
2 The Role of Theory in Digital Discourse
Analysis Alla Tovares
19
3 Operationalizing Theoretical Constructs
in Digital Discourse Analysis Scott F. Kiesling
37
4 Data Sampling and Digital
Discourse Stephen Pihlaja
55
5 Data Collection, Preparation, and
Management Ramona Kreis
73
6 Research Ethics Caroline Tagg and
Tereza Spilioti
91
7 Digital Tools for Digital Discourse
Analysis Trena M. Paulus
115
8 Researching Multilingual Digital
Discourse Carmen Lee
139
vi Contents
9 Analyzing Multimodal Interactions in
Social Media Contexts Ruth Page
159
10 Analyzing Online Videos Aditi Bhatia
177
11 Cross-Platform Analysis Marie-Louise Brunner
and Stefan Diemer
197
12 Using Corpus Linguistics to Study
Online Data Ursula Lutzky and Andrew Kehoe
219
13 Approaching Online Practices through
Ethnography Brook Bolander
237
14 Reflective Approaches to Analyzing
Digital Discourse Riki Thompson
257
List of Contributors 277
References 281
Index 312
Illustrations
Figures
3.1 Graphic representation of stance triangle 44
3.2 Example spreadsheet of annotated Reddit thread 48
6.1 Edited representation of visual material 103
6.2 Asking for consent in a closed WhatsApp group 106
6.3 Expressions of concern and perceived gendered banter in a
one-to-one WeChat exchange 108
7.1 Word cloud 122
7.2 Auto-coding 123
7.3 Quotation tool 124
7.4 Memo tool 125
7.5 Code manager 126
7.6 Code and retrieve function 127
7.7 Code-document table 128
7.8 Network visualization 130
7.9 Geo documents 131
7.10 Geo document in a network 132
7.11 Code reports 133
10.1 A glam Diwali makeup tutorial 186
10.2 Easy fresh summer makeup tutorial 186
10.3 Random Rambles 187
10.4 TMI TAG 187
11.1 Customer address. @yvesrocherfr, Instagram Yves Rocher France
2018 203
11.2 Customer interaction. @yvesrocheruk, Instagram Yves Rocher UK
2018 204
11.3 Peer-to-peer webcare. @kyliecosmetics, Instagram Kylie Cosmetics
2018 205
11.4 Strategic posting: Halloween. @bitburger, Instagram Bitburger
2018 206
11.5 Hashtag cloud. @bitburger, Instagram Bitburger 2018 207
viii Illustrations
11.6 Instastory. @Unimog, Instagram Mercedes-Benz 2018 208
11.7 Typical Instagram post. @mymuesli, Instagram My Muesli 2018 209
12.1 The distribution of #boycottryanair in the Ryanair Corpus 230
14.1 Stylized example of linked profiles on OkCupid 272
Tables
8.1 Research Methods and Themes in Selected Studies of Multilingual
Digital Discourse 145
8.2 Language Choice of All Distinct Hashtags 151
8.3 Language Distribution of Affective Hashtags 151
9.1 Example of information given in an annotation manual for Page
(2019a) 170
12.1 Top Thirty Keywords in the Ryanair Corpus 226
12.2 Top Fifteen Collocates of Company in L1 Position 228
13.1 “Screen-based” and “User-based” Approaches 239
13.2 A Sociable Disagreement Exchange 250
13.3 Guidelines for Observation and Contact with Users 252
Acknowledgments
I am grateful to former commissioning editor at Bloomsbury Andrew
Wardell for initially approaching me with the idea for this book. After nearly
a decade of advising doctoral students on methodological matters related to
digital discourse analysis, I was well aware that this volume—which he and
I envisioned together—could serve as a valuable resource for both students
and scholars in our field. Of course, this volume would not have been possible
without the authors who so generously contributed their work to it. I am
thankful to each and every one of these colleagues, who managed to meet
deadlines and produce inspiring chapters during a period of unprecedented
stress and challenge brought on by a global pandemic, and in spite of
numerous other competing demands on their time. And I am particularly
grateful to this amazing community of scholars for being willing to share the
details of their research stories, including their challenges, their trials and
tribulations, and all the exciting messiness of the research process, which
is normally excluded from our academic publications. In addition, I thank
the six reviewers of the book’s proposal for their positive response to this
project as well as their constructive suggestions, which have helped shape
the project in a number of important ways. Following Andrew’s departure,
Becky Holland and Morwenna Scott at Bloomsbury provided helpful
editorial assistance at different stages of the publication process. Finally, I
am grateful to my friends and family for their enthusiasm about this book:
to Irene Cenni for moral support and feedback on my introductory chapter,
and to my husband, Ruben Vásquez, for technical assistance and for his
unwavering support of all my endeavors, both scholarly and non-scholarly.