With 2.5 billion monthly active users, 5% is still 125 million fake accounts. Machine learning will also go only so far: no matter how much data a model is trained on, it won’t ever catch every ...

Discover how machine learning techniques can detect fake social media profiles. Learn about LSTM, XG Boost, Random Forest, and Neural Networks. Find out which technique is the best for identifying ...

Nowadays internet-trolls have big impact on other users, it interferes with comfortable use. Objective of the project is creating model for identifying provocative and fake comments. Science articles ...

Fake News detection is much needed in today's world as it has a large impact in our social as well as personal life but involves some challenges due to the limited resources like datasets, research ...

An artificial intelligence course has been launched that includes two projects focused on using AI to detect and combat fake news articles. Students and faculty at West Virginia University aren't ...

Binghamton University's School of Management (SOM) has conducted research that proposes solutions to combat the spread of fake news using a combination of machine learning and blockchain ...

At the same time, some are adjusting to leverage machine learning and artificial intelligence, improving ways to detect fraud. Hence, bringing us to the question below.