Corpus Approaches to Social Media

ORCID logoSofia Rüdiger | University of Bayreuth
ORCID logoDaria Dayter | University of Basel
ISBN 9789027207944 | EUR 95.00 | USD 143.00
ISBN 9789027260499 | EUR 95.00 | USD 143.00
Google Play logo
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
Cited by

Cited by 3 other publications

Broś, Karolina
2023. Using social media as a source of analysable material in phonetics and phonology – lenition in Spanish. Linguistics Vanguard 0:0 DOI logo
Johansson, Marjut, Sanna-Kaisa Tanskanen & Jan Chovanec
2021. Practices of Convergence and Controversy in Digital Discourses. In Analyzing Digital Discourses,  pp. 1 ff. DOI logo
Sinnott, Richard O., Qi Li, Abdul Mohammad & Luca Morandini
2023. The Australian Digital Observatory: Social Media Collection, Discovery and Analytics at Scale. In Big Data Intelligence and Computing [Lecture Notes in Computer Science, 13864],  pp. 316 ff. DOI logo

This list is based on CrossRef data as of 17 may 2023. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.


Main BIC Subject

CFX: Computational linguistics

Main BISAC Subject

LAN009050: LANGUAGE ARTS & DISCIPLINES / Linguistics / Sociolinguistics
U.S. Library of Congress Control Number:  2020040260 | Marc record