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.

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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