AF
Cartus/Automated-Fact-Checking-Resources
Links to conference/journal publications in automated fact-checking (resources for the TACL22/EMNLP23 paper).
560 62 -1/wk
GitHub
claim-detection dataset explainable-ai fact-checking fake-news-detection information-retrieval machine-learning natural-language-inference natural-language-processing paper-list rumor-detection survey
Trend
0
Star & Fork Trend (17 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
Cartus/Automated-Fact-Checking-Resources has -1 stars this period . 7-day velocity: -0.4%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Automated-Fact-Checking-Resources | multilspy | tianchi_nl2sql | snow-cli |
|---|---|---|---|---|
| Stars | 560 | 560 | 560 | 560 |
| Forks | 62 | 101 | 148 | 64 |
| Weekly Growth | -1 | +0 | +0 | -1 |
| Language | N/A | Python | Jupyter Notebook | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | N/A | NOASSERTION |
Capability Radar vs multilspy
Automated-Fact-Checking-Resources
multilspy
Maintenance Activity 0
Last code push 410 days ago.
Community Engagement 55
Fork-to-star ratio: 11.1%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 95
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.