Social Media Video Quality Scores for Electroconvulsive Therapy Content

A cross-sectional analysis of 232 videos from TikTok, BiliBili, and YouTube, collected on December 8, 2025. The dataset contains quality, reliability, and dissemination metrics for electroconvulsive therapy (ECT)-related content, assessed using standardized evaluation tools. It was authored by Yuxia Fan and published on figshare in April 2026.

Use Cases

• Compare video quality and reliability across social media platforms based on the Global Quality Scale (GQS), modified DISCERN (mDISCERN), and Medical Video Evaluation Tool (MQ-VET) scores.
• Analyze the relationship between uploader identity, presentation format, and content category with video quality scores.
• Investigate correlations between user engagement metrics and informational quality scores on different platforms.
• Identify platform-specific factors associated with higher-quality health information dissemination.

Strengths

• Includes 232 videos (71 from TikTok, 75 from BiliBili, 86 from YouTube) assessed with multiple standardized evaluation tools.
• Data collection date is explicitly stated as December 8, 2025, providing a clear temporal snapshot.
• Released under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the underlying data table is unknown, which may limit suitability assessment.
• The dataset is very small at 31.9 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Top videos retrieved using platform-specific keywords ('电休克' on TikTok/BiliBili, 'ECT' on YouTube) were screened and independently assessed by raters.

Time Range

Snapshot from December 8, 2025.

Freshness

Last updated 2026-04-20 05:22:49; freshness should be verified.

Geography

Platforms are global (YouTube, TikTok) and China-focused (BiliBili); specific geographic coverage of content is not detailed.