The SAGE Handbook of Social Media Research Methods

Anabel Quan-Haase, Luke Sloan, Anabel Quan-Haase, Luke Sloan, Author

• Publisher: SAGE Publications Ltd
• Year: 2022
• Print ISBN: 9781529720969
• eBook ISBN: 9781529788884
• Edition: 2
• Topic: Social Sciences
• Subtopic: Social Science Research & Methodology
• Index: Social Sciences

The SAGE Handbook of Social Media Research Methods spans the entire research process, from data collection to analysis and interpretation. This second edition has been comprehensively updated and expanded, from 39 to 49 chapters. In addition to a new section of chapters focussing on ethics, privacy and the politics of social media data, the new edition provides broader coverage of topics such as:

• Data sources
• Scraping and spidering data
• Locative data, video data and linked data
• Platform-specific analysis
• Analytical tools
• Critical social media analysis

Written by leading scholars from across the globe, the chapters provide a mix of theoretical and applied assessments of topics, and include a range of new case studies and data sets that exemplify the methodological approaches.

This Handbook is an essential resource for any researcher or postgraduate student embarking on a social media research project.

PART 1: Conceptualising and Designing Social Media Research
PART 2: Collecting Data
PART 3: Qualitative Approaches to Social Media Data
PART 4: Quantitative Approaches to Social Media Data
PART 5: Diverse Approaches to Social Media Data
PART 6: Research & Analytical Tools
PART 7: Social Media Platforms
PART 8: Privacy, Ethics and Inequalities

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Contents
• List of Figures
• List of Tables
• Notes on the Editors and Contributors
• 1 Introduction
• Part I Conceptualizing and Designing Social Media Research
• 2 Defining Social Media and Asking Social Media Research Questions: How Well Does the Swiss Army Knife Metaphor Apply?
• 3 Before Methods: Social Media Research Considerations
• 4 Building Social Media Interdisciplinary Research Teams across Academia, Industry, and Community: Motivations, Challenges, and Policy Frameworks
• 5 Key Considerations in the Interpretation of Digital Trace Data
• 6 Who Uses Social Media?
• 7 Representativeness and Bias in Social Media Research: Quantitative and Qualitative Approaches to Sampling
• Part II Collecting Data
• 8 Sourcing Data from Social Media via APIs
• 9 Using Social Media in Data Collection: Designing Studies with the Qualitative E-Research Framework
• 10 Understanding Individual Web Browsing: Social Media Use in Context
• 11 Gathering Behavioral Data from User-Provided Social Media Downloads
• PART III Qualitative Approaches to Social Media Data
• 12 Small Data, Thick Data: Data Thickening Strategies for Social Media Research
• 13 Scaling Up Qualitative Research Methods with Natural Language Processing Tools: The Case-Study of Colombia's 2018 Presidential Election on Twitter
• 14 The Visual in Social Media: Understanding Visual Objects, Mobilities, and Practices
• 15 Twitter as Method: Using Twitter as a Tool to Conduct Ethnographic Research
• 16 Netnography: An Approach to Ethnography in the Digital Age
• 17 Corpus-Assisted Critical Discourse Analysis of Social Media Data: Tools and Techniques1
• 18 Small Stories Research: A Narrative Paradigm for the Analysis of Social Media
• Part IV Quantitative Approaches to Social Media Data
• 19 Geospatial Analysis
• 20 Predictive Analytics with Social Media Data
• 21 Machine Learning and Neural Network Language Models for Sentiment Analysis
• 22 The Multi-Scalar Complexities of Analysing the City through Social Media Data
• 23 Multiscale Functional Communities
• Part V Diverse Approaches to Social Media Data
• 24 Innovative Social Location-Aware Services for Mobile Phones
• 25 The Good, the Bad, and the How-to of Analysing Social Media Data1
• 26 Situating Location Data in Social Media Research
• 27 Content Verification for Social Media: From Deception Detection to Automated Fact-Checking
• Part VI Research & Analytical Tools
• 28 COSMOS 2.0: The Journey of Developing a Social Analytic Tool
• 29 Social Lab: An ‘Open Source Facebook'
• 30 A Python Tutorial for Social Scientists: Using the YouTube API and Advanced Supervised Text Classification Methods to Detect COVID-19 Toxic (Misinformation) Comments on YouTube
• 31 R for Social Media Analysis
• 32 Using Netlytic to Analyze Twitter Conversations about the 2014 Euromaidan Revolution in Ukraine
• 33 Computational Temporal Thematic Analysis of Social Media Data
• 34 NodeXL: Twitter Social Media Network Insights in Just a Few Clicks
• 35 Studying Anti-Social Behaviour on Reddit with Communalytic
• 36 Sentiment Analysis
• Part VII Social Media Platforms
• 37 Coding Twitter Data Using Qualitative and Computational Methods: A Mixed Methods Framework
• 38 The Reddit Data Analysis Pipeline for Researchers
• 39 Turning to Alternative Social Media
• 40 Instagram Revisited
• 41 WeChat
• 42 Collecting and Analyzing Weibo Data: A Roadmap for Social Research
• 43 Social Media for Joint Experimental, Survey, and Observational Data Collection: The Case of VKontakte
• 44 Researching YouTube: Methods, Tools, and Analytics
• 45 Researching TikTok: Themes, Methods, and Future Directions
• Part VIII Privacy, Ethics, and Inequalities
• 46 Inequalities in Social Media Use and Their Implications for Digital Methods Research
• 47 Linking Twitter and Survey Data: Gaining Consent, Making the Link, and Maintaining Data Security
• 48 Ethics of Using Social Media Data in Research: Users’ Views
• 49 Privacy, Consent, and Confidentiality in Social Media Research
• Index