TikTok Videos on AI Resistance, 1,497 Videos Analyzed

1,497 TikTok videos compiled for a study on AI-related resistance. Rut Martínez-Borda conducted a three-stage analysis combining hashtag co-occurrence, engagement metrics, and multimodal narrative analysis. The dataset, last updated in May 2026, presents an integrative framework connecting large-scale metrics with micro-narrative analysis.

Use Cases

• Analyze hashtag co-occurrence patterns to identify thematic clusters of resistance.
• Study relationships between engagement metrics (views, likes, comments, shares) and hashtag strategy.
• Conduct multimodal narrative analysis of video content using editing, sound, captions, and visual devices.
• Investigate intersections of algorithmic, cultural, and discursive forms of resistance in short-form video.

Strengths

• Dataset includes 1,497 videos, providing a substantial corpus for analysis.
• Analysis integrates quantitative metrics (engagement, hashtags) with qualitative multimodal narrative analysis.
• Study framework connects large-scale metadata with micro-narrative analysis, offering a multi-method approach.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is stored in a DOCX file (21.7 KB), suggesting limited scope and likely a summary document rather than raw data.

Provenance

Source

figshare

Collection Method

Compiled corpus of TikTok videos for academic study.

Freshness

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