Fake News Detection System - Machine Learning Mock Interview

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In this machine learning mock interview, an NLP consultant explains how to design a fake news detection system. The prevalence of fake news on social media platforms has created a growing need for a reliable detection system.

The fake news detection system comprises three modules: text, URL, and network analysis. The text analysis module focuses on features that may indicate a fake news post.

Chapters (Powered by ChapterMe) -
00:00 - Design of fake news detection system
01:59 - Text analysis and RDF triples for fake news
06:51 - Separating network analysis and fake news module
09:35 - Data facts, social network, machine learning
14:09 - Approaching Wild Questions in NLP and Machine Learning

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