Brief Description This project focuses on detecting disinformation spread across social media platforms using machine learning techniques. By analyzing textual data, user engagement, and network patterns, the model aims to classify content as either factual or misleading, helping users identify and combat the spread of false information.
active 2024-11-01 → 2024-12-01 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 31 days from 2024-11-01 to 2024-12-01. Pushes: 2 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 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 |
|---|---|---|---|---|
| aamershahDS | 3 | 2 | 0 | 1 |
| rajendrakumar360 | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#1aamershahDS2024-12-01 12:12Upload the dataset also.
- Issue#1rajendrakumar3602024-12-01 07:10Upload the dataset also.
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.