Real-time Misinformation and Disinformation Detection and Source Attribution in Dynamic News Feeds (project).
I built an ML/NLP-based system to detect misinformation and assess source credibility in dynamic news feeds. The work required structuring news content and generating target labels for misinformation/disinformation categories and credibility-related attributes. I focused on preparing and validating labeled training data suitable for downstream modeling and evaluation. • Labeled or defined text-based categories for misinformation vs disinformation and credibility signals. • Prepared training-ready datasets from dynamic news feed content for model ingestion. • Performed iterative quality checks to ensure label consistency and reduce ambiguity. • Documented label definitions to support repeatable training/evaluation cycles.