YouTube Comment Data Workflow for Cinema Therapy Coronavirus Playlist

A research project by T. Xu from DANS Data Station Social Sciences and Humanities Collection, last updated in May 2026, conducts a corpus-assisted critical discourse analysis of YouTube comments. The dataset focuses on the 'Coping with Coronavirus Quarantine' playlist from the Cinema Therapy channel. It includes supporting Python scripts and documentation for the data acquisition and cleaning workflow, but the final output excludes original comment text from 2020 for privacy compliance.

Use Cases

• Study linguistic patterns and emotional expressions in online therapeutic communities based on the described discourse analysis.
• Replicate or adapt the data collection and cleaning workflow for other YouTube research based on the provided Python scripts.
• Analyze how commenters position themselves within networked publics based on the project's stated research purpose.

Strengths

• Includes documented Python scripts for data collection and cleaning using the YouTube Data API v3.
• Dataset description explicitly details the research purpose and data handling methodology.
• Complies with GDPR and institutional data protection guidelines through the exclusion of original 2020 comment text.

Limitations

• The final dataset does not contain the original comment text, which is the primary subject of the described analysis.
• Column-level documentation and sample data are unavailable, making field semantics and structure unknown.
• Row count, file formats, and license information are unspecified.

Provenance

Source

YouTube comments from the Cinema Therapy channel's 'Coping with Coronavirus Quarantine' playlist.

Collection Method

Retrieved via the YouTube Data API v3, cleaned and filtered in Python, with manual verification.

Time Range

Comments were posted in 2020, but the final output excludes the original text from that year.

Freshness

Last updated 2026-05-19 08:12:27; freshness should be verified