Two categories of English news article URLs, fake and satire, are paired with rebuttal links for the fake entries. The dataset utilizes article_number and url_of_article fields to organize the source material for misinformation analysis.
Use Cases
- Build a fact-checking pipeline that validates claims in url_of_article against the rebutting article links.
- Train a classifier to separate 'satire' from 'fake' news using features extracted from the article URLs.
- Conduct link-based network analysis of misinformation sources using the url_of_article field.
Strengths
- Includes url_of_article and article_number columns for data tracking.
- Provides a specific rebuttal URL for articles classified under the 'fake' category.
- Categorizes entries into distinct 'fake' and 'satire' labels.