Significant issues arise from the spread of hate speech. To solve these problems, this study suggests a transformer-driven method for identifying bogus data. Our experimental results reveal that our approach is resilient in detecting bogus data, especially when it comes to hate speech, with an accuracy of up to 97.76%.
active 2025-01-23 → 2025-01-23 (UTC)
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Line chart, 1 days from 2025-01-23 to 2025-01-23. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 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.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| rams30 | 3 | 3 | 0 | 0 |
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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.