Corpus Approaches to Social Media

| University of Bayreuth
| University of Basel
ISBN 9789027207944 | EUR 95.00 | USD 143.00
ISBN 9789027260499 | EUR 95.00 | USD 143.00
From Twitter to Reddit, Facebook, and WhatsApp – social media is a part of modern everyday life. Studying the language used on social media platforms presents great opportunities as well as challenges to corpus linguists. The contributions in Corpus Approaches to Social Media address technical, ethical, and methodological issues by showcasing in-depth social media studies as conducted by corpus scholars. The chapters are based on a variety of social media platforms and include corpus perspectives on the language of online communities, linguistic variation in short media texts, and the role of images in computer-mediated communication. A particularly strong point of the collection are the detailed accounts of the methodological aspects of working with social media corpora. The volume features research applying traditional corpus linguistic methods to social media data as well as novel and innovative research methods for the analysis of multimodal material and atypical corpus texts.
[Studies in Corpus Linguistics, 98]  2020.  vi, 210 pp.
Publishing status: Available
Table of Contents
Introduction. The expanding landscape of corpus-based studies of social media language
Sofia Rüdiger and Daria Dayter
Part 1. Using corpus methods to investigate communities on social media
Chapter 1. Towards a digital sociolinguistics: Communities of Practice on Reddit
Sven Leuckert and Martin Leuckert
Chapter 2. The control and censorship of linguistic resources in an online Community of Practice
Lisa Donlan
Chapter 3. Talking about women: Elicitation, manual tagging, and semantic tagging in a study of pick-up artists’ referential strategies
Daria Dayter and Sofia Rüdiger
Part II. Linguistic variation in short social media texts
Chapter 4. Patterns of intra-individual variation in a Swiss WhatsApp corpus: Analysing real-time change and long-term accommodation
Samuel Felder
Chapter 5. Using lengthwise scaling to compare feature frequencies across text lengths on Reddit
Aatu Liimatta
Chapter 6. Double trouble: Are 280-character tweets comparable to 140-character tweets?
Martin Eberl
Part III. The role of images
Chapter 7. Constructing corpora from images and text: An introduction to Visual Constituent Analysis
Alex Christiansen, William Dance and Alexander Wild
Chapter 8. Working with images and emoji in the 🦆 Dukki Facebook Corpus
Luke Collins
Part IV. Discussion
Chapter 9. New developments in corpus approaches to social media: A response
Claire Hardaker
Subjects & Metadata
BIC Subject: CFX – Computational linguistics
BISAC Subject: LAN009050 – LANGUAGE ARTS & DISCIPLINES / Linguistics / Sociolinguistics
ONIX Metadata
ONIX 2.1
ONIX 3.0
U.S. Library of Congress Control Number:  2020040260 | Marc record