In:Corpus Approaches to Social Media:
Edited by Sofia Rüdiger and Daria Dayter
[Studies in Corpus Linguistics 98] 2020
► pp. v–vi
Get fulltext
This article is available free of charge.
Published online: 4 November 2020
https://doi.org/10.1075/scl.98.toc
https://doi.org/10.1075/scl.98.toc
Table of contents
IntroductionThe expanding landscape of corpus-based studies of social media language1
Sofia Rüdiger
Daria Dayter
Part I.Using corpus methods to investigate communities on social media
Chapter 1.Towards a digital sociolinguistics: Communities of Practice on Reddit15
Sven Leuckert & Martin Leuckert
Martin Leuckert
Chapter 2.The control and censorship of linguistic resources in an online Community of Practice41
Lisa Donlan
Chapter 3.Talking about women: Elicitation, manual tagging, and semantic tagging in a study of pick-up artists’ referential strategies63
Daria Dayter
Sofia Rüdiger
Part II.Linguistic variation in short social media texts
Chapter 4.Patterns of intra-individual variation in a Swiss WhatsApp corpus: Analysing long-term accommodation and real-time change89
Samuel Felder
Chapter 5.Using lengthwise scaling to compare feature frequencies across text lengths on Reddit111
Aatu Liimatta
Chapter 6.Double trouble: Are 280-character tweets comparable to 140-character tweets?131
Martin Eberl
Part III.The role of images
Chapter 7.Constructing corpora from images and text: An introduction to Visual Constituent Analysis149
Alex Christiansen
William Dance
Alexander Wild
Chapter 8.Working with images and emoji in the 🦆 Dukki Facebook Corpus175
Luke Collins
Part IV.Discussion
Chapter 9.New developments in corpus approaches to social media: A response199
Claire Hardaker
Index209
Companion website
Additional materials for chapters 1, 3, 4 and 7 can be downloaded from the book’s companion website:
