TikTok Hashtags and Resistance Analysis Corpus of 1,497 Videos

Rut Martínez-Borda compiled a corpus of 1,497 TikTok videos to examine AI-related conversations conveying resistance. The study conducted a three-stage analysis involving hashtag co-occurrence, engagement metrics, and multimodal narrative analysis using Transana. The dataset, last updated in May 2026, presents an integrative framework connecting large-scale metrics with micro-narrative analysis.

Use Cases

• Analyze thematic clusters of resistance based on hashtag co-occurrence patterns mentioned in the description
• Study relationships between engagement metrics and hashtag strategy as described in the analysis
• Conduct multimodal narrative analysis of short-form video content using editing, sound, and visual devices referenced in the study
• Investigate algorithmic, cultural, and discursive forms of resistance identified in the narrative analysis

Strengths

• Corpus includes 1,497 TikTok videos
• Analysis integrates quantitative metrics (views, likes, comments, shares) with qualitative narrative analysis
• Dataset is openly licensed under CC-BY-4.0

Limitations

• Dataset size is only 17.8 KB, indicating limited scope
• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment

Provenance

Source

figshare

Collection Method

Compiled a corpus of TikTok videos and conducted a three-stage analysis.

Freshness

Last updated 2026-05-06 14:35:36; freshness should be verified