Social Media Posts for Bot Detection, Sentiment and Fake News Analysis

1.2 GB of social media posts and comments compiled for natural language processing tasks. The dataset was authored by Khurram Shahzad and last updated on May 23, 2026. It is available under a permissive CC-BY-4.0 license.

Use Cases

• Train bot detection models based on social media post text.
• Perform sentiment analysis on user comments mentioned in the description.
• Develop classifiers for fake news detection using social media content.
• Benchmark NLP models on multi-task classification of social media text.

Strengths

• Dataset size is 1.2 GB, indicating a medium-scale collection.
• Released under the CC-BY-4.0 license, allowing for flexible reuse and distribution.

Limitations

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

Provenance

Source

Khurram Shahzad

Freshness

Last updated 2026-05-23 09:41:44; freshness should be verified.