Hatred Tweets During the MeToo Movement on Twitter with User Metrics

Hatred-on-Twitter-During-MeToo-Movement is a dataset of tweets from the MeToo movement, labeled for hatred and non-hatred content. The data includes tweet text, timestamps, and user engagement metrics like retweet and favorite counts. It was sourced from openml under a CC-BY-NC-SA-4.0 license.

Use Cases

• Train a binary text classifier for hate speech detection based on the labeled 'category' column.
• Analyze the relationship between user engagement metrics like 'retweet_count' and the spread of hateful content.
• Study temporal patterns in hate speech during the MeToo movement based on the 'created_at' timestamps.
• Investigate correlations between user profile features like 'followers_count' and the posting of hateful tweets.

Strengths

• Includes a labeled target variable ('category') for supervised learning tasks.
• Contains multiple user engagement and profile features such as 'retweet_count' and 'followers_count'.
• Data is explicitly focused on a specific social movement, providing contextual relevance.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.
• Data may reflect temporal and platform bias inherent to Twitter data collection during a specific event.

Provenance

Source

openml

Collection Method

Likely collected via Twitter API during the MeToo movement, based on the description.