Corpus Approaches to Social Media
1st Edition
Published on 4. November 2020
216 pages
978-90-272-6049-9 (ISBN)
Description
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.
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Sofia Ruediger | Daria Dayter
Corpus Approaches to Social Media
Book
11/2020
John Benjamins Publishing Co
€119.20
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Content
- Intro
- Corpus Approaches to Social Media
- Editorial page
- Title page
- Copyright page
- Table of contents
- Introduction. The expanding landscape of corpus-based studies of social media language
- 1. Social media as a data source
- 2. Structure and scope of this volume
- 3. Outlook
- References
- Part I. Using corpus methods to investigate communities on social media
- Chapter 1. Towards a digital sociolinguistics: Communities of practice on reddit
- 1. Introduction
- 2. Introducing Reddit
- 2.1 User origin and accessibility
- 2.2 Structure and features of Reddit
- 3. Communities of practice and the online self
- 3.1 A world of make-believe?
- 3.2 Community of practice
- 4. Crawling Reddit: Data and method
- 5. Subreddits as CoPs: Some findings
- 5.1 Talking about community
- 5.2 User behaviour
- 5.3 Shared repertoire
- 6. Discussion: Framing subreddits as CoPs
- (1) Mutual engagement
- (2) Jointly negotiated enterprise
- (3) Shared repertoire
- 7. Conclusion and outlook
- References
- Chapter 2. The control and censorship of linguistic resources in an online Community of Practice
- 1. Introduction
- 2. The community of practice framework
- 3. The Popheads community
- 3.1 Power in the Popheads community
- 4. Hypotheses
- 5. Data
- 6. Why wig?
- 7. The lifespan of wig
- 7.1 The emergence and significance of wig
- 7.2 The backlash against wig
- 7.3 After the ban
- 8. Conclusion
- References
- Chapter 3. Talking about women: Elicitation, manual tagging, and semantic tagging in a study of pick-up artists' referential strategies
- 1. Introduction
- 2. Discourse of pick-up artists through the linguistic lens
- 3. Corpus-based research on reference in discourse
- 4. Data: The online PUA corpora
- 4.1 Large e-PUA corpus
- 4.2 Field reports (FR) corpus
- 5. Threefold method: Introspection, manual tagging, and automatic methods
- Introspection and elicitation
- Manual tagging
- Automatic annotation
- 6. PUAs speaking about women
- 6.1 Findings of the introspection and elicitation round
- 6.2 Findings of the manual tagging round
- 6.3 Additional findings of the semantic tagging and reverse collocation analysis
- 7. Discussion and conclusion
- 7.1 Pick-up artists speaking about women
- 7.2 Summary of the three extraction methods
- References
- 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
- 1. Introduction
- 2. Theoretical background: Aspects of intra-individual variation
- 3. Properties of WhatsApp text messaging with a focus on Swiss German
- 4. Data and methods
- 5. Change over time: Examples on different linguistic levels
- 6. Types of long-term accommodation in two-person chats
- 7. Conclusion
- References
- Chapter 5. Using lengthwise scaling to compare feature frequencies across text lengths on Reddit
- 1. Introduction
- 2. Background
- 3. Related research
- 4. Lengthwise approaches
- 5. Register
- 6. Data
- 7. Case studies
- 7.1 Baseline: Normalization
- 7.2 Method 1: Lengthwise rarity scaling
- 7.3 Method 2: Lengthwise quantile scaling
- 8. Discussion
- 9. Conclusion
- References
- Chapter 6. Double trouble: Are 280-character tweets comparable to 140-character tweets?
- 1. Introduction
- 2. Methodology
- 3. Results
- 3.1 Lexical variation
- 3.2 Variation in punctuation
- 3.3 Metatextual variation
- 4. Discussion and conclusion
- 4.1 Theoretical implications
- 4.2 Methodological implications
- References
- Part III. The role of images
- Chapter 7. Constructing corpora from images and text: An introduction to Visual Constituent Analysis
- 1. Introduction
- 2. Opportunities and obstacles - Why 'visual'?
- 3. Tentative solutions - Constructing 'constituents'
- 3.1 Vision
- 3.2 Concatenating outputs
- 4. Analysing T-IRA with VCA
- 4.1 Hostile state information operations
- 4.2 T-IRA - a general overview
- 5. Quantifying the importance of images
- 5.1 Images, likes and retweets
- 5.2 Text-image overlap
- 6. T-IRA - A case study
- 6.1 Data
- 6.2 Method
- 6.3 Analysis
- 7. Concluding remarks
- References
- Chapter 8. Working with images and emoji in the Dukki Facebook Corpus
- 1. Introduction
- 2. Encoding multimodal features
- 2.1 Images
- 2.2 Emoji
- 3. Businesses and social media
- 4. Dukki and the Dukki Facebook Corpus
- 4.1 Image annotation
- 5. Frequency and distribution of images and emoji
- 6. Collocation
- 6.1 Collocates of CANDID images
- 6.2 Collocates of 'Dukki'
- 7. Discussion and conclusion
- References
- Part IV. Discussion
- Chapter 9. New developments in corpus approaches to social media: A response
- 1. Introduction
- 2. Prognostications from the past
- 3. Pictures painting words
- 4. Conclusion
- References
- Index
