Quan-Haase, Anabel (Hrsg.); Sloan, Luke (Hrsg.)

The SAGE Handbook of Social Media Research Methods - Second Edition - London SAGE Publications; SAGE Publications Ltd 2022 - 768 Seiten

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Chapter 1: Introduction - Anabel Quan-Haase & Luke SloanPart 1: Conceptualising and Designing Social Media ResearchChapter 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-PeetChapter 3: Before Methods: Social Media Research Considerations - Bree McEwan & Jesse FoxChapter 4: Building Social Media Interdisciplinary Research Teams across Academia, Industry, and Community: Motivations, Challenges, and Policy Frameworks - Anabel Quan-Haase, Riley McLaughlin, & Lori McCay-PeetChapter 5: Key Consideration in the Interpretation of Digital Trace Data - Andrew D. Nevin, Yimin Chen, Shuzhe Yang, & Anabel Quan-HaaseChapter 6: Who Uses Social Media? - Grant BlankChapter 7: Representativeness and Bias in Social Media Research: Quantitative and Qualitative Approaches to Sampling - William Hollingshead, Anabel Quan-Haase, & Grant BlankPart 2: Collecting DataChapter 8: Sourcing Data from Social Media via APIs - Dietmar JanetzkoChapter 9: Using Social Media in Data Collection: Designing Studies with the Qualitative E-Research Framework - Janet SalmonsChapter 10: Understanding Individual Web Browsing: Social Media Use in Context - Ericka Menchen-Trevino & Chris J. KarrChapter 11: Gathering Behavioural Data from User-Provided Social Media Downloads - Jazmin A. Reyes-Portillo, Chris J. Karr, & Marya E. CordenPart 3: Qualitative Approaches to Social Media DataChapter 12: Small Data, Thick Data: Data Thickening Strategies for Social Media Research - Guillaume Latzko-Toth, Claudine Bonneau, & Melanie MilletteChapter 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 Su©ØarezChapter 14: The Visual in Social Media: Understanding Visual Objects, Mobilities, and Practices - Martin HandChapter 15: Twitter as Method: Using Twitter as a Tool to Conduct Ethnographic Research - Bonnie StewartChapter 16: Netnography - An Approach to Ethnography in the Digital Age - Alex Fenton & Keith ParryChapter 17: Corpus-Assisted Critical Discourse Analysis of Social Media Data: Tools and Techniques - Jaigris Hodson & Laura M. LefevreChapter 18: Small Stories Research: A Narrative Paradigm for the Analysis of Social Media - Alexandra GeorgakopoulouPart 4: Quantitative Approaches to Social Media DataChapter 19: Geospatial Analysis - Olga Buchel & Diane Rasmussen PenningtonChapter 20: Predictive Analytics with Social Media Data - Niels Buus Lassen, Lisbeth la Cour, & Ravi VatrapuChapter 21: Machine Learning and Neural Network Language Models for Sentiment Analysis - John McLevey & Tyler CrickChapter 22: The Multi-Scalar Complexities of Analysing the City through Social Media Data - Pablo Marti & Leticia Serrano-EstradaChapter 23: Multiscale Functional Communities - Olga Buchel & Leila HedayatifarPart 5: Diverse Approaches to Social Media DataChapter 24: Innovative Social Location-Aware Services for Mobile Phones - Bernhard Klein & Ulf-Dietrich ReipsChapter 25: The Good, the Bad and the How-To of Analyzing Social Media Data - Frauke ZellerChapter 26: Situating Location Data in Social Media Research - Darryl PieberChapter 27: Content Verification for Social Media: From Deception Detection to Automated Fact-Checking - Victoria L. RubinPart 6: Research & Analytical ToolsChapter 28: COSMOS 2.0: The Journey of Developing a Social Analytic Tool - Mohamed Mostafa & Arron CullenChapter 29: Social Lab: An 'Open Source Facebook' - Ulf-Dietrich Reips & Pablo GaraizarChapter 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 HegelichChapter 31: R for Social Media Analysis - Saurabh Dhawan & Simon HegelichChapter 32: Using Netlytic to Analyze Twitter Conversation about the 2014 Euromaidan Revolution in Ukraine - Anatoliy Gruzd, Philip Mai, & Andrea KampenChapter 33: Computational Temporal Thematic Analysis of Social Media Data - Danial AngusChapter 34: NodeXL - Twitter Social Media Network Insights in Just a Few Clicks - Wasim Ahmed, Harald Meier, & Marc SmithChapter 35: Studying Anti-Social Behaviour on Reddit with Communalytic - Anatoliy Gruzd, Philip Mai, & Zahra VahediChapter 36: Sentiment Analysis - Mike ThelwallPart 7: Social Media PlatformsChapter 37: Coding Twitter Data Using Qualitative and Computational Methods: A Mixed Methods Framework - Dhiraj MurthyChapter 38: The Reddit Data Analysis Pipeline for Researchers - Yadira Lizama-Mu©Øe & Juan Luis Su©ØarezChapter 39: Turning to Alternative Social Media - Gordon GowChapter 40: Instagram Revisited - Linnea Laestadius & Alice WittChapter 41: WeChat - Jimman Zhang & Anabel Quan-HaaseChapter 42: Collecting and Analyzing Weibo Data: A Roadmap for Social Research - Zhifan Luo & Muyang LiChapter 43: Social Media for Joint Experimental, Survey, and Observational Data Collection: The case of VKontakte (VK) - Olessia KoltsovaChapter 44: Researching YouTube: Methods, Tools, and Analytics - M. Laeeq Khan & Aqdas MalikChapter 45: Researching TikTok: Themes, Methods, and Future Directions - Alex MiltsovPart 8: Privacy, Ethics and InequalitiesChapter 46: Inequalities in Social Media Use and their Implications for Digital Methods Research - Christoph LutzChapter 47: Linking Twitter and Survey Data: Gaining Consent, Making the Link, and Maintaining Data Security - Luke Sloan, Tarek Al Baghal, & Curtis JessopChapter 48: Ethics of Using Social Media Data in Research: Users Views - Jenna Jacobson & Irina GoreaChapter 49: Privacy, Consent, and Confidentiality in Social Media Research - Jacquie Burkell, Priscilla M. Regan, & Valerie Steev

9781529784923

9781529784923 978-1-5297-8492-3