Exploring the fake news dataset, performing data analysis such as word clouds and ngrams, and fine-tuning BERT transformer to build a fake news detector in Python using transformers library.

Mar 21, 2025 · By following these steps we successfully built a fake news detection model using TensorFlow in Python. This model can be further improved by fine-tuning the …

Feb 23, 2025 · [WWW 2022] The source code of "Evidence-aware Fake News Detection with Graph Neural Networks"

Apr 14, 2021 · In this article, I am going to explain how I developed a web application that detects fake news written in my native language (Greek), by using the Python programming language. …

Develop Fake News Detection in Python and Machine Learning. In this project we use supervised Multinomial Naive Bayes algorithm and TF-IDF Vectorizer.

Machine learning provides a scalable and automated approach to fake news detection. By leveraging large datasets and advanced algorithms, these models can effectively identify fake …

Sep 6, 2023 · Real-time analytics tools, enabled by Python programming, have grown as useful assets in the battle against false news as a reaction to this rising problem. This article delves …

To build a model to accurately classify a piece of news as REAL or FAKE. This advanced python project of detecting fake news deals with fake and real news. Using sklearn, we build a …

Sep 10, 2024 · A lot of research is already going on focused on the classification of fake news. Here we will try to solve this issue with the help of machine learning in Python. Before starting …

Explore and run machine learning code with Kaggle Notebooks | Using data from fake-and-real-news-dataset