fakenewsnet

**FakeNewsNet** is a comprehensive fake news benchmark providing full news articles, social context from Twitter, and ground truth labels from fact-checking sites. ## What Is FakeNewsNet? - **Components**: News content + social engagement + user profiles - **Sources**: PolitiFact and GossipCop fact-checks - **Size**: 23,000+ articles with Twitter propagation data - **Research Focus**: Multi-modal fake news detection ## Why FakeNewsNet Matters Fake news detection requires more than text analysis—propagation patterns, user credibility, and engagement signals provide crucial signals. ```svg FakeNewsNet Data Structure:┌─────────────────────────────────────┐ News Article - Title, body text - Source domain - Publish date ├─────────────────────────────────────┤ Social Context - Tweets sharing article - Retweet cascades - User profiles/followers ├─────────────────────────────────────┤ Ground Truth - Fact-check verdict - Explanation └─────────────────────────────────────┘ ``` **Detection Approaches Using FakeNewsNet**: | Approach | Features | F1 Score | |----------|----------|----------| | Text only | Article content | ~70% | | Social only | Propagation patterns | ~75% | | Multi-modal | Text + social + user | ~85% |

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