YouTube Regrets: User-Reported Regrettable Content from Mozilla Studies

Data collected from participants in Mozilla's RegretsReporter studies, who installed a web extension to report regrettable content on YouTube. The dataset is authored by the mozilla-foundation and was last updated on the platform in May 2023. It also incorporates related research from the University of Exeter and Vero Instituto.

Use Cases

• Analyzing patterns of user-reported regrettable content based on the study's data collection method.
• Researching the effectiveness of user-led reporting tools for platform accountability.
• Studying the relationship between recommended content and user regret as suggested by the research context.

Strengths

• Data originates from a named research organization (mozilla-foundation).
• Collection method is described (participants installed a web extension).
• Last update timestamp is provided (2023-05-16 11:16:40).

Limitations

• Row count, column definitions, and file formats are unknown, limiting suitability assessment.
• Description metadata is limited; actual data quality and structure require manual inspection after download.
• Freshness should be verified as the last update was in 2023.

Provenance

Source

mozilla-foundation

Collection Method

Collected via a web extension installed by study participants.

Time Range

null

Freshness

Last updated 2023-05 16 11:16:40.

Geography

null