图书简介
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
Chapter 1: IntroductionAnabel 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 Applies the Swiss Army Knife Metaphor?Charlotte Nau, Anabel Quan-Haase, & Lori McCay-Peet \\ Chapter 3: Before Methods: Social Media Research ConsiderationsBree McEwan & Jesse Fox \\ Chapter 4: Building Social Media Interdisciplinary Research Teams across Academia, Industry, and Community: Motivations, challenges, and policy frameworksAnabel Quan-Haase, Riley McLaughlin, & Lori McCay-Peet \\ Chapter 5: Key Consideration in the Interpretation of Digital Trace DataAndrew D. Nevin, Yimin Chen, Shuzhe Yang, & Anabel Quan-Haase \\ Chapter 6: Who Uses Social Media?Grant Blank \\ Chapter 7: Representation and Bias in Social Media Research: Qualitative and Quantitative Approaches to SamplingWilliam Hollingshead, Anabel Quan-Haase, & Grant Blank \\ Part 2: Collecting Data \\ Chapter 8: Sourcing Data from Social Media via APIsDietmar Janetzko \\ Chapter 9: Using Social Media in Data Collection: Designing Studies with the Qualitative E-Research FrameworkJanet Salmons \\ Chapter 10: Understanding Individual Web Browsing: Social Media Use in ContextEricka Menchen-Trevino & Chris J. Karr \\ Chapter 11: Gathering Behavioural Data from User-Provided Social Media DownloadsJazmin 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 ResearchGuillaume 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 TwitterErin Huner & Juan Luis Suárez \\ Chapter 14: The Visual in Social Media: Understanding visual objects, mobilities and practicesMartin Hand \\ Chapter 15: Twitter as method: Using Twitter as a tool to conduct ethnographic researchBonnie Stewart \\ Chapter 16: Netnography - An Approach to Ethnography in the Digital AgeAlex Fenton & Keith Parry \\ Chapter 17: Corpus-Assisted Critical Discourse Analysis of Social Media Data: Tools and TechniquesJaigris Hodson & Laura M. Lefevre \\ Chapter 18: Small Stories Research: A Narrative Paradigm for the Analysis of Social MediaAlexandra Georgakopoulou \\ Part 4: Quantitative Approaches to Social Media Data \\ Chapter 19: Geospatial AnalysisOlga Buchel & Diane Rasmussen Pennington \\ Chapter 20: Predictive Analytics with Social Media DataNiels Buus Lassen, Lisbeth la Cour, & Ravi Vatrapu \\ Chapter 21: Machine Learning and Neural Network Language Models for Sentiment AnalysisJohn McLevey & Tyler Crick \\ Chapter 22: The Multi-Scalar Complexities of Analysing the City through Social Media DataPablo Marti & Leticia Serrano-Estrada \\ Chapter 23: Multiscale Functional CommunitiesOlga Buchel & Leila Hedayatifar \\ Part 5: Diverse Approaches to Social Media Data \\ Chapter 24: Innovative Social Location-Aware Services for Mobile PhonesBernhard Klein & Ulf-Dietrich Reips \\ Chapter 25: The Good, the Bad and the How-To of Analyzing Social Media DataFrauke Zeller \\ Chapter 26: Situating Location Data in Social Media ResearchDarryl Pieber \\ Chapter 27: Content Verification for Social Media: From Deception Detection to Automated Fact-CheckingVictoria L. Rubin \\ Part 6: Research & Analytical Tools \\ Chapter 28: COSMOS 2.0: The Journey of Developing a Social Analytic ToolMohamed 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 YouTubeMorteza Shahrezaye, Fabienne Marco, Joana Bayraktar, & Simon Hegelich \\ Chapter 31: R for Social Media AnalysisSaurabh Dhawan & Simon Hegelich \\ Chapter 32: Using Netlytic to Analyze Twitter Conversation about the 2014 Euromaidan Revolution in UkraineAnatoliy Gruzd, Philip Mai, & Andrea Kampen \\ Chapter 33: Computational Temporal Thematic Analysis of Social Media DataDanial Angus \\ Chapter 34: NodeXL – Twitter social media network insights in just a few clicksWasim Ahmed, Harald Meier, & Marc Smith \\ Chapter 35: Studying Anti-Social Behaviour on Reddit with CommunalyticAnatoliy Gruzd, Philip Mai, & Zahra Vahedi \\ Chapter 36: Sentiment AnalysisMike Thelwall \\ Part 7: Social Media Platforms \\ Chapter 37: Coding Twitter data using qualitative and computational methods: A mixed methods frameworkDhiraj Murthy \\ Chapter 38: The Reddit Data Analysis Pipeline for ResearchersYadira Lizama-Mué & Juan Luis Suárez \\ Chapter 39: Turning to Alternative Social MediaGordon Gow \\ Chapter 40: Instagram RevisitedLinnea Laestadius & Alice Witt \\ Chapter 41: WeChatJimman Zhang & Anabel Quan-Haase \\ Chapter 42: Collecting and Analyzing Weibo Data: A Roadmap for Social ResearchZhifan Luo & Muyang Li \\ Chapter 43: Social Media for Joint Experimental, Survey, and Observational Data Collection: The case of VKontakte (VK)Olessia Koltsova \\ Chapter 44: Research YouTube: Methods, Tools, AnalyticsAqdas Malik & M. Laeeq Khan \\ Chapter 45: Researching TikTok: Themes, methods, and future directionsAlex Miltsov \\ Part 8: Privacy, Ethics and Inequalities \\ Chapter 46: Inequalities in Social Media Use and their Implications for Digital Methods ResearchChristoph Lutz \\ Chapter 47: Linking Twitter and Survey Data: Gaining Consent, Making the Link, and Maintaining Data SecurityLuke Sloan, Tarek Al Baghal, & Curtis Jessop \\ Chapter 48: Ethics of Using Social Media Data in Research: Users’ ViewsJenna Jacobson & Irina Gorea \\ Chapter 49: Privacy, consent, and confidentiality in social media researchJacquie Burkell, Priscilla M. Regan, & Valerie Steeves
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