Small Data, Thick Data: Data Thickening Strategies for Social Media Research
Latzko-Toth, G., Bonneau, C. et Millette, M. (2022). Small Data, Thick Data: Data Thickening Strategies for Social Media Research. Dans L. Sloan et A. Quan-Haase (dir.), The Sage Handbook of Social Media Research Methods (2e éd.). Sage Publications.
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
Ce contenu a été mis à jour le 29 septembre 2022 à 14 h 07 min.