2024 · Research Paper

A Minimal Approach to Fake News Detection

A published research paper on a lightweight machine-learning approach to distinguishing fake and real news articles.

Key takeaway

The five-feature XGBoost model reached 71% test accuracy. Article length, author count, and readability were among its strongest signals.

First page of A Minimal Approach to Fake News Detection.
fake newsmachine learning

Original paper

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