![]() ![]() ![]() MP4 Repair: How to Fix Corrupted Video Files in 2019.Best Choice Stellar Phoenix Data Recovery.How to Create a Strong Password in 2023: Secure Password Generator & 6 Tips for Strong Passwords.How to Securely Store Passwords in 2023: Best Secure Password Storage.Best Password Manager for Small Business.How to Access the Deep Web and the Dark Net.Online Storage or Online Backup: What's The Difference?.Time Machine vs Arq vs Duplicati vs Cloudberry Backup.Chapter 27: Content Verification for Social Media: From Deception Detection to Automated Fact-Checking.Chapter 26: Situating Location Data in Social Media Research.Chapter 25: The Good, the Bad, and the How-to of Analysing Social Media Data.Chapter 24: Innovative Social Location-Aware Services for Mobile Phones.Part V: DIVERSE APPROACHES TO SOCIAL MEDIA DATA Chapter 23: Multiscale Functional Communities.Chapter 22: The Multi-Scalar Complexities of Analysing the City through Social Media Data.Chapter 21: Machine Learning and Neural Network Language Models for Sentiment Analysis.Chapter 20: Predictive Analytics with Social Media Data.Part IV: QUANTITATIVE APPROACHES TO SOCIAL MEDIA DATA Chapter 18: Small Stories Research: A Narrative Paradigm for the Analysis of Social Media.Chapter 17: Corpus-Assisted Critical Discourse Analysis of Social Media Data: Tools and Techniques.Chapter 16: Netnography: An Approach to Ethnography in the Digital Age.Chapter 15: Twitter as Method: Using Twitter as a Tool to Conduct Ethnographic Research.Chapter 14: The Visual in Social Media: Understanding Visual Objects, Mobilities, and Practices.Chapter 13: Scaling Up Qualitative Research Methods with Natural Language Processing Tools: The Case-Study of Colombia's 2018 Presidential Election on Twitter.Chapter 12: Small Data, Thick Data: Data Thickening Strategies for Social Media Research.Part III: QUALITATIVE APPROACHES TO SOCIAL MEDIA DATA Chapter 11: Gathering Behavioral Data from User-Provided Social Media Downloads.Chapter 10: Understanding Individual Web Browsing: Social Media Use in Context.Chapter 9: Using Social Media in Data Collection: Designing Studies with the Qualitative E-Research Framework.Chapter 8: Sourcing Data from Social Media via APIs.Chapter 7: Representativeness and Bias in Social Media Research: Quantitative and Qualitative Approaches to Sampling.Chapter 5: Key Considerations in the Interpretation of Digital Trace Data.Chapter 4: Building Social Media Interdisciplinary Research Teams across Academia, Industry, and Community: Motivations, Challenges, and Policy Frameworks.Chapter 3: Before Methods: Social Media Research Considerations.Chapter 2: Defining Social Media and Asking Social Media Research Questions: How Well Does the Swiss Army Knife Metaphor Apply?.Part I: CONCEPTUALIZING AND DESIGNING SOCIAL MEDIA RESEARCH ![]() 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 and Analytical Tools PART 7: Social Media Platforms and PART 8: Privacy, Ethics and Inequalities. This Handbook is an essential resource for any researcher or postgraduate student embarking on a social media research project. 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. 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: (1) Data sources (2) Scraping and spidering data (3) Locative data, video data and linked data (4) Platform-specific analysis (5) Analytical tools and (6) Critical social media analysis. This second edition has been comprehensively updated and expanded, from 39 to 49 chapters. The SAGE Handbook of Social Media Research Methods spans the entire research process, from data collection to analysis and interpretation. ![]()
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