Danish Social Media Posts Annotated For Misogyny

Featuring a preview of annotated social media posts for misogyny detection. The full dataset size, row count, and column details are not available in this preview.

Use Cases

• Classify social media posts for misogyny using expert-generated annotations
• Analyze linguistic patterns in Danish text related to hate speech detection
• Train a monolingual text classification model for the specific task of misogyny identification

Strengths

• Annotations are expert-generated, indicating a potential for high label quality
• The dataset is monolingual (Danish), providing focused language data
• The source data is original, not derived from other datasets

Limitations

• This is only a preview; the full dataset is not accessible without an application
• The sample size, number of rows, and specific features are unknown
• The dataset carries a 'Not For All Audiences' tag due to its sensitive content

Provenance

Source

strombergnlp

Collection Method

Sampled and annotated from social media posts

Time Range

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Freshness

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Geography

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