Multilingual Fake News Detection Dataset

Multilingual Fake News Detection is a text dataset hosted on HuggingFace by author maitry30. The dataset was last updated on 2026-04-08. Its specific content, size, and structure require verification after download.

Use Cases

• Training a multilingual text classifier for fake news identification (inferred from domain, verify after download)
• Benchmarking cross-lingual transfer learning for misinformation detection (inferred from domain, verify after download)
• Analyzing linguistic features of misinformation across languages (inferred from domain, verify after download)

Strengths

• Published on the HuggingFace platform.
• Platform tags indicate a focus on multilingual text classification.

Limitations

• Metadata is minimal; actual content requires verification after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count, file formats, and license are unknown, which may limit suitability assessment.

Provenance

Source

maitry30

Collection Method

Method of data gathering is unknown.

Time Range

Temporal coverage is unknown.

Freshness

Last updated 2026-04-08 18:04:23.

Geography

Spatial coverage is unknown.