Research Data for "Sustainable Spectacle: AI Avatars, Digital Costumes, and the Democratiz
by Rui Zhang·Updated 27d ago
20.9 KB1files
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Description
Research data from a netnographic study of Decentraland's Metaverse Fashion Week between 2022 and 2024. The dataset includes 820 thematic coded entries, a 42-hour observation log, summaries of 1,847 social media posts and 680 Reddit/Discussion posts, and analysis of 23 brands. It was created by Rui Zhang and released under a CC-BY-4.0 license.
Use Cases
Analyzing themes of spectacle production and sustainability based on the coded entries.
Studying platform power dynamics based on the observation log and social media data.
Examining democratization discourse in digital fashion based on user discussion catalogs.
Investigating brand marketing strategies in virtual spaces based on the marketing materials analysis.
Strengths
820 thematic coded entries with 37 secondary codes provide detailed qualitative analysis.
Inter-coder reliability assessment shows substantial agreement with a Cohen's Kappa of 0.83.
Data collection includes multiple sources: 42 hours of observation, 1,847 social media posts, and analysis of 23 brands.
Limitations
The dataset is small in file size (20.9 KB), suggesting limited raw data or highly summarized content.
Full original social media content and user discussions are not included, limiting reproducibility.
Column-level documentation is absent; field semantics must be inferred after download.
Provenance
Source
figshare
Collection Method
Netnographic study involving platform observation, social media scraping, and qualitative coding.
Time Range
2022-2024
Freshness
Last updated 2026-05-11 09:17:10
Original social media content and user discussions are excluded to protect privacy and comply with platform terms.