Brazilian Portuguese LGBTQIA+ Hate Speech Comments from Podcast Social Media

A dataset for detecting hate speech against LGBTQIA+ people in Brazilian Portuguese. It contains comments collected from three social media platforms related to the 'Entre Amigues' podcast. The dataset was created by Veronyka and was last updated on March 23, 2026.

Use Cases

• Training hate speech classifiers based on real social media comments mentioned in the description.
• Analyzing patterns of online harassment against LGBTQIA+ individuals based on the described social media source.
• Benchmarking model performance on sensitive, real-world text data as described.
• Studying linguistic features of hate speech in Brazilian Portuguese based on the described content.

Strengths

• Contains real hate speech text, providing authentic data for model training.
• Focuses on a specific, sensitive context (attacks on a Brazilian LGBTQIA+ podcast).
• Explicitly warns about sensitive content, promoting ethical handling.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Comments from three social media platforms of the 'Entre Amigues' podcast.

Collection Method

Collected from social media, likely via web scraping or API.

Time Range

null

Freshness

Last updated 2026-03-23 23:46:24; freshness should be verified.

Geography

Brazil (inferred from Brazilian Portuguese language and local podcast context).