Fake News Detection

AICMSAWSBIGCPMLNLP
Fake News Detection
AICMSAWSBIGCPMLNLP
We developed an advanced platform to detect and manage fake news, using AI and NLP models to process and verify media content in real time. The system ensures accuracy by cross-referencing trusted sources and assigning credibility scores, empowering users to navigate information confidently.
Industry
Media & news
Location
USA
Year
2025
Technologies:








Business Impacts
- Improved content verification accuracy to 97%, enhancing trust in news
- Decreased manual review workload by 60%, increasing operational efficiency
- Supported 10 million daily verifications, ensuring robust performance
- Provided actionable insights to strengthen editorial strategies and counter misinformation
Technical Highlights
- Real-time data processing: built a scalable pipeline with Apache Kafka for live data ingestion and analysis
- NLP fact-checking engine: deployed state-of-the-art models like BERT and GPT to evaluate text for accuracy and context
- Cloud infrastructure: utilized AWS and GCP for high scalability and reliability, handling millions of checks daily
- Data insights and visualization: designed interactive dashboards with Apache Superset for tracking misinformation trends
- CI/CD automation: ensured continuous integration and deployment through Docker and GitLab CI


