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The SAGE Handbook of Social Media Research Methods

THE SAGE HANDBOOK OF SOCIAL MEDIA RESEARCH METHODS 2

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<P>This handbook spans the entire research process, from data collection to analysis and interpretation. This edition has been comprehensively updated and expanded with additional chapters focussing on ethics, privacy and the politics of social media data, along with broader coverage of topics such as data sources; scraping and spidering data; locative data, video data and linked data; platform-specific analysis; analytical tools; and critical social media analysis.</P>

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Other Frontmatter.
Title Page.
Copyright Page.
Photo Credits.
Other Frontmatter.
Contents.
List of Figures.
List of Tables.
Notes on the Editors and Contributors.
Introduction.
1: Conceptualizing and Designing Social Media Research.
2: Defining Social Media and Asking Social Media Research Questions: How Well Does the Swiss Army Knife Metaphor Apply?.
3: Before Methods: Social Media Research Considerations.
4: Building Social Media Interdisciplinary Research Teams across Academia, Industry, and Community: Motivations, Challenges, and Policy Frameworks.
5: Key Considerations in the Interpretation of Digital Trace Data.
6: Who Uses Social Media?.
7: Representativeness and Bias in Social Media Research: Quantitative and Qualitative Approaches to Sampling.
8: Collecting Data.
9: Sourcing Data from Social Media via APIs.
10: Using Social Media in Data Collection: Designing Studies with the Qualitative E-Research Framework.
11: Understanding Individual Web Browsing: Social Media Use in Context.
12: Gathering Behavioral Data from User-Provided Social Media Downloads.
13: Qualitative Approaches to Social Media Data.
14: Small Data, Thick Data: Data Thickening Strategies for Social Media Research.
15: Scaling Up Qualitative Research Methods with Natural Language Processing Tools: The Case-Study of Colombia&#x2019;s 2018 Presidential Election on Twitter.
16: The Visual in Social Media: Understanding Visual Objects, Mobilities, and Practices.
17: Twitter as Method: Using Twitter as a Tool to Conduct Ethnographic Research.
18: Netnography: An Approach to Ethnography in the Digital Age.
19: Corpus-Assisted Critical Discourse Analysis of Social Media Data: Tools and Techniques.
20: Small Stories Research: A Narrative Paradigm for the Analysis of Social Media.
21: Quantitative Approaches to Social Media Data.
22: Geospatial Analysis.
23: Predictive Analytics with Social Media Data.
24: Machine Learning and Neural Network Language Models for Sentiment Analysis.
25: The Multi-Scalar Complexities of Analysing the City through Social Media Data.
26: Multiscale Functional Communities.
27: Diverse Approaches to Social Media Data.
28: Innovative Social Location-Aware Services for Mobile Phones.
29: The Good, the Bad, and the How-to of Analysing Social Media Data.
30: Situating Location Data in Social Media Research.
31: Content Verification for Social Media: From Deception Detection to Automated Fact-Checking.
32: Research &#x0026; Analytical Tools.
33: COSMOS 2.0: The Journey of Developing a Social Analytic Tool.
34: Social Lab: An &#x2018;Open Source Facebook&#x2019;.
35: 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.
36: R for Social Media Analysis.
37: Using Netlytic to Analyze Twitter Conversations about the 2014 Euromaidan Revolution in Ukraine.
38: Computational Temporal Thematic Analysis of Social Media Data.
39: NodeXL: Twitter Social Media Network Insights in Just a Few Clicks.
40: Studying Anti-Social Behaviour on Reddit with Communalytic.
41: Sentiment Analysis.
42: Social Media Platforms.
43: Coding Twitter Data Using Qualitative and Computational Methods: A Mixed Methods Framework.
44: The Reddit Data Analysis Pipeline for Researchers.
45: Turning to Alternative Social Media.
46: Instagram Revisited.
47: WeChat.
48: Collecting and Analyzing Weibo Data: A Roadmap for Social Research.
49: Social Media for Joint Experimental, Survey, and Observational Data Collection: The Case of VKontakte.
50: Researching YouTube: Methods, Tools, and Analytics.
51: Researching TikTok: Themes, Methods, and Future Directions.
52: Privacy, Ethics, and Inequalities.
53: Inequalities in Social Media Use and Their Implications for Digital Methods Research.
54: Linking Twitter and Survey Data: Gaining Consent, Making the Link, and Maintaining Data Security.
55: Ethics of Using Social Media Data in Research: Users&#x2019; Views.
56: Privacy, Consent, and Confidentiality in Social Media Research.
Index.

The SAGE Handbook of Social Media Research Methods.css-1p8rvzy{position:absolute;padding-left:8px;}

The SAGE Handbook of Social Media Research Methods