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The SAGE Handbook of Social Media Research Methods
Second Edition
Edited by:
Other Titles in:
Communication Research Methods | Social Research Methods | Sociological Research Methods
Communication Research Methods | Social Research Methods | Sociological Research Methods
September 2022 | 768 pages | SAGE Publications Ltd
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
Anabel Quan-Haase & Luke Sloan
Chapter 1: Introduction
Part 1: Conceptualising and Designing Social Media Research
Charlotte Nau, Anabel Quan-Haase, & Lori McCay-Peet
Chapter 2: Defining Social Media and Asking Social Media Research Questions: How Well Does the Swiss Army Knife Metaphor Apply?
Bree McEwan & Jesse Fox
Chapter 3: Before Methods: Social Media Research Considerations
Anabel Quan-Haase, Riley McLaughlin, & Lori McCay-Peet
Chapter 4: Building Social Media Interdisciplinary Research Teams across Academia, Industry, and Community: Motivations, Challenges, and Policy Frameworks
Andrew D. Nevin, Yimin Chen, Shuzhe Yang, & Anabel Quan-Haase
Chapter 5: Key Consideration in the Interpretation of Digital Trace Data
Grant Blank
Chapter 6: Who Uses Social Media?
William Hollingshead, Anabel Quan-Haase, & Grant Blank
Chapter 7: Representativeness and Bias in Social Media Research: Quantitative and Qualitative Approaches to Sampling
Part 2: Collecting Data
Dietmar Janetzko
Chapter 8: Sourcing Data from Social Media via APIs
Janet Salmons
Chapter 9: Using Social Media in Data Collection: Designing Studies with the Qualitative E-Research Framework
Ericka Menchen-Trevino & Chris J. Karr
Chapter 10: Understanding Individual Web Browsing: Social Media Use in Context
Jazmin A. Reyes-Portillo, Chris J. Karr, & Marya E. Corden
Chapter 11: Gathering Behavioural Data from User-Provided Social Media Downloads
Part 3: Qualitative Approaches to Social Media Data
Guillaume Latzko-Toth, Claudine Bonneau, & Melanie Millette
Chapter 12: Small Data, Thick Data: Data Thickening Strategies for Social Media Research
Erin Huner & Juan Luis Suárez
Chapter 13: Scaling Up Qualitative Research Methods with Natural Language Processing Tools: The Case-Study of the Columbia's 2018 Presidential Election in Twitter
Martin Hand
Chapter 14: The Visual in Social Media: Understanding Visual Objects, Mobilities, and Practices
Bonnie Stewart
Chapter 15: Twitter as Method: Using Twitter as a Tool to Conduct Ethnographic Research
Alex Fenton & Keith Parry
Chapter 16: Netnography - An Approach to Ethnography in the Digital Age
Jaigris Hodson & Laura M. Lefevre
Chapter 17: Corpus-Assisted Critical Discourse Analysis of Social Media Data: Tools and Techniques
Alexandra Georgakopoulou
Chapter 18: Small Stories Research: A Narrative Paradigm for the Analysis of Social Media
Part 4: Quantitative Approaches to Social Media Data
Olga Buchel & Diane Rasmussen Pennington
Chapter 19: Geospatial Analysis
Niels Buus Lassen, Lisbeth la Cour, & Ravi Vatrapu
Chapter 20: Predictive Analytics with Social Media Data
John McLevey & Tyler Crick
Chapter 21: Machine Learning and Neural Network Language Models for Sentiment Analysis
Pablo Marti & Leticia Serrano-Estrada
Chapter 22: The Multi-Scalar Complexities of Analysing the City through Social Media Data
Olga Buchel & Leila Hedayatifar
Chapter 23: Multiscale Functional Communities
Part 5: Diverse Approaches to Social Media Data
Bernhard Klein & Ulf-Dietrich Reips
Chapter 24: Innovative Social Location-Aware Services for Mobile Phones
Frauke Zeller
Chapter 25: The Good, the Bad and the How-To of Analyzing Social Media Data
Darryl Pieber
Chapter 26: Situating Location Data in Social Media Research
Victoria L. Rubin
Chapter 27: Content Verification for Social Media: From Deception Detection to Automated Fact-Checking
Part 6: Research & Analytical Tools
Mohamed Mostafa & Arron Cullen
Chapter 28: COSMOS 2.0: The Journey of Developing a Social Analytic Tool
Ulf-Dietrich Reips & Pablo Garaizar
Chapter 29: Social Lab: An 'Open Source Facebook'
Morteza Shahrezaye, Fabienne Marco, Joana Bayraktar, & Simon Hegelich
Chapter 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
Saurabh Dhawan & Simon Hegelich
Chapter 31: R for Social Media Analysis
Anatoliy Gruzd, Philip Mai, & Andrea Kampen
Chapter 32: Using Netlytic to Analyze Twitter Conversation about the 2014 Euromaidan Revolution in Ukraine
Danial Angus
Chapter 33: Computational Temporal Thematic Analysis of Social Media Data
Wasim Ahmed, Harald Meier, & Marc Smith
Chapter 34: NodeXL – Twitter Social Media Network Insights in Just a Few Clicks
Anatoliy Gruzd, Philip Mai, & Zahra Vahedi
Chapter 35: Studying Anti-Social Behaviour on Reddit with Communalytic
Mike Thelwall
Chapter 36: Sentiment Analysis
Part 7: Social Media Platforms
Dhiraj Murthy
Chapter 37: Coding Twitter Data Using Qualitative and Computational Methods: A Mixed Methods Framework
Yadira Lizama-Mué & Juan Luis Suárez
Chapter 38: The Reddit Data Analysis Pipeline for Researchers
Gordon Gow
Chapter 39: Turning to Alternative Social Media
Linnea Laestadius & Alice Witt
Chapter 40: Instagram Revisited
Jimman Zhang & Anabel Quan-Haase
Chapter 41: WeChat
Zhifan Luo & Muyang Li
Chapter 42: Collecting and Analyzing Weibo Data: A Roadmap for Social Research
Olessia Koltsova
Chapter 43: Social Media for Joint Experimental, Survey, and Observational Data Collection: The case of VKontakte (VK)
M. Laeeq Khan & Aqdas Malik
Chapter 44: Researching YouTube: Methods, Tools, and Analytics
Alex Miltsov
Chapter 45: Researching TikTok: Themes, Methods, and Future Directions
Part 8: Privacy, Ethics and Inequalities
Christoph Lutz
Chapter 46: Inequalities in Social Media Use and their Implications for Digital Methods Research
Luke Sloan, Tarek Al Baghal, & Curtis Jessop
Chapter 47: Linking Twitter and Survey Data: Gaining Consent, Making the Link, and Maintaining Data Security
Jenna Jacobson & Irina Gorea
Chapter 48: Ethics of Using Social Media Data in Research: Users’ Views
Jacquie Burkell, Priscilla M. Regan, & Valerie Steeves
Chapter 49: Privacy, Consent, and Confidentiality in Social Media Research
