Social Media Posts About German Politicians from January and February 2025

January-February 2025 collection of 1,255,895 unfiltered short social media posts, with an 80% German and 20% English language distribution. The dataset, created by SinclairSchneider, is intended for tasks like text classification and sentiment analysis.

Use Cases

• Classify political narratives based on social media post content.
• Analyze sentiment towards German political figures based on post text.
• Detect manipulative communication patterns in short-form political text.

Strengths

• Contains 1,255,895 data instances, providing a substantial corpus for analysis.
• Language distribution is explicitly quantified as approximately 80% German and 20% English.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known, but the specific source platforms (beyond Reddit and Telegram) and collection methodology are not detailed.

Provenance

Source

huggingface

Collection Method

Unfiltered collection from social media platforms, likely including Reddit and Telegram.

Time Range

January-February 2025

Freshness

Last updated 2026-05-16 02:24:39.

Geography

Focus on Germany, inferred from topic and primary language.