Latin American Fake News Dataset for Social Media Analysis

Comprising text data related to fake news and social media manipulation in Latin America, created by IsaacRodgz and last updated in March 2022. It is categorized as a tabular and text modality dataset with a size between 1,000 and 10,000 rows. The data is intended for analyzing political narratives and misinformation campaigns.

Use Cases

• Analyze text content to identify patterns of misinformation narratives in Latin American political contexts.
• Train text classification models to detect fake news using the labeled text modality data.
• Investigate the relationship between social media platforms and political manipulation campaigns described in the dataset summary.

Strengths

• Dataset size is specified within a range of 1,000 to 10,000 rows, providing a concrete scale.
• Includes both tabular and text modalities, offering flexibility for different analytical approaches.
• Explicitly focuses on Latin America, providing regional specificity for political and social media analysis.

Limitations

• The exact number of rows, columns, and file format are unknown, limiting precise assessment of scope.
• Data is from 2022 or earlier, making it potentially stale for analyzing current misinformation trends.
• Lack of sample data and detailed column descriptions prevents understanding of specific features available.

Provenance

Source

Hugging Face dataset created by IsaacRodgz.

Collection Method

null

Time Range

null

Freshness

Last updated on 2022-03-23.

Geography

Latin America