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 ...

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 ...

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 ...

Email Spam has become a major problem nowadays, with Rapid growth of internet users, Email spams is also increasing. People are using them for illegal and unethical conducts, phishing and fraud.

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 ...

Fetal Heart Defect Detection Improved by Using Machine Learning. By Elizabeth Fernandez. Share on Facebook; ... by combining routine ultrasound imaging with machine-learning computer ... The project ...