More prevalent in recent years and with great amount of dynamism in internet and social media, differentiating between facts and opinions, relating to commercial or political upheavals has become more difficult than ever. Fake information is purposely or unintentionally spread throughout the internet. The massive dissemination of fake news has left an indelible mark on people and culture.
- Logistic Regression
- Decision Tree Classification
- Gradient Boosting Classifier
- Random Forest Classifier
https://www.kaggle.com/code/therealsampat/fake-news-detection/input
• Kai Shu, Amy Sliva, SuhangWang, JiliangTang, and Huan Liu, “Fake News Detection on Social Media: A Data Mining Perspective” arXiv:1708.01967v3 [cs.SI], 3 Sep 2017
• Fake news websites. (n.d.) Wikipedia. [Online]. Available: https://en.wikipedia.org/wiki/Fake_news_website. Accessed Feb. 6, 2017
• Cade Metz. (2016, Dec. 16). The bittersweet sweepstakes to build an AI that destroys fake news.
• Conroy, N., Rubin, V. and Chen, Y. (2015). “Automatic deception detection: Methods for finding fake news” at Proceedings of the Association for Information Science and Technology, 52(1), pp.1-
• https://www.kaggle.com/code/therealsampat/fake-news-detection/notebook