This project aims to create a reliable Fact-filtering system by utilizing both machine learning and natural language processing (NLP) techniques in response to the growing issue of disinformation. The principal aim is to develop a model that can reliably differentiate between authentic and fraudulent news stories.
active 2024-07-04 → 2024-07-08 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 5 days from 2024-07-04 to 2024-07-08. Pushes: 17 total, peak 9 in a day. Pull requests: 9 total, peak 9 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| shaswatgithub | 14 | 12 | 2 | 0 |
| viendimine | 12 | 5 | 7 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.