Source-Based Fake News Classification with Author and Publication Metadata

A preprocessed dataset for classifying fake news based on source information, derived from the 'Getting Real about Fake News' corpus. The data includes features such as author names, publication dates, and source citations to assess news trustworthiness. It was published in a 2020 paper and is shared under a CC0-1.0 license.

Use Cases

• Classifying news authenticity based on cited source information.
• Training models to detect misinformation using author and publication date metadata.
• Analyzing media bias and source trustworthiness in social media posts.

Strengths

• Preprocessing and skew elimination have been applied to the source data.
• Includes source, author, and publication date features, which the description notes are crucial for labeling.

Limitations

• Row count and file format are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Derived from the 'Getting Real about Fake News' dataset.

Collection Method

Data preprocessing and feature extraction performed by the author, as described in the linked 2020 paper.