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Description
AndyTheFactory consolidated and cleaned a fake news dataset classified into 10 categories. The dataset includes labels for reliable, unreliable, political, bias, fake, conspiracy, rumor, clickbait, junk science, satire, and hate content. It was last updated on GitHub in October 2023.
Use Cases
Train classifiers to detect fake news based on the 10 provided content categories.
Analyze the linguistic features of satire versus conspiracy content based on the described labels.
Benchmark multi-label classification models on the described categories of media reliability.
Strengths
The dataset is explicitly cleaned and consolidated, suggesting a degree of preprocessing.
It covers a wide range of 10 distinct content categories relevant to misinformation analysis.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment for large-scale training.
Provenance
Source
GitHub user AndyTheFactory
Collection Method
Consolidated and cleaned from unspecified sources.
Freshness
Last updated 2023-10-31 21:56:00; freshness should be verified.
License is unknown; terms of use must be verified before application.