Corpus Approaches to Social Media
Editors
| University of Bayreuth
| University of Basel
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
© John Benjamins
Table of Contents
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Introduction. The expanding landscape of corpus-based studies of social media languageSofia Rüdiger and Daria Dayter | pp. 1–12
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Part 1. Using corpus methods to investigate communities on social media
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Chapter 1. Towards a digital sociolinguistics: Communities of Practice on RedditSven Leuckert and Martin Leuckert | pp. 15–40
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Chapter 2. The control and censorship of linguistic resources in an online Community of PracticeLisa Donlan | pp. 41–62
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Chapter 3. Talking about women: Elicitation, manual tagging, and semantic tagging in a study of pick-up artists’ referential strategiesDaria Dayter and Sofia Rüdiger | pp. 63–86
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Part II. Linguistic variation in short social media texts
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Chapter 4. Patterns of intra-individual variation in a Swiss WhatsApp corpus: Analysing real-time change and long-term accommodationSamuel Felder | pp. 89–110
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Chapter 5. Using lengthwise scaling to compare feature frequencies across text lengths on RedditAatu Liimatta | pp. 111–130
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Chapter 6. Double trouble: Are 280-character tweets comparable to 140-character tweets?Martin Eberl | pp. 131–146
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Part III. The role of images
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Chapter 7. Constructing corpora from images and text: An introduction to Visual Constituent AnalysisAlex Christiansen, William Dance and Alexander Wild | pp. 149–174
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Chapter 8. Working with images and emoji in the 🦆 Dukki Facebook CorpusLuke C. Collins | pp. 175–196
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Part IV. Discussion
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Chapter 9. New developments in corpus approaches to social media: A responseClaire Hardaker | pp. 199–208
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Index
Subjects & Metadata
BIC Subject: CFX – Computational linguistics
BISAC Subject: LAN009050 – LANGUAGE ARTS & DISCIPLINES / Linguistics / Sociolinguistics