Bhavik-Jikadara/fake-news-detections
This project is relevant to the media industry, news outlets, and social media platforms that are responsible for sharing news articles. Classifying news articles as real or fake can help these organizations improve their content moderation and reduce the spread of fake news.
This tool helps content moderators, editors, and social media managers automatically identify news articles that might be fake or intentionally misleading. You input news article text, and it classifies whether the content is likely real or fake. This assists organizations in the media industry, news outlets, and social media platforms to improve content moderation and reduce misinformation.
No commits in the last 6 months.
Use this if you need an automated way to screen large volumes of news content for potential misinformation before it spreads.
Not ideal if you are looking for a definitive, human-level fact-checking solution or if your content is not standard news article text.
Stars
12
Forks
2
Language
Python
License
—
Category
Last pushed
Mar 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Bhavik-Jikadara/fake-news-detections"
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