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