Disinformation Detection System

TLDR

• Collected, scraped, and cleaned 1,000+ text samples for an interpretable disinformation classifier.

• Built a Logistic Regression model with GloVe embeddings and Bag-of-Words features, then improved it through confusion-matrix-driven iteration.

• Reduced preprocessing and experiment iteration time by about 40% with structured NLP feature pipelines.