Detecting Fake WhatsApp Messages with Knowledge Graphs using Machine Learning and Deep Learning

Key Points

• Detection of fake messages is achieved through a combination of knowledge graphs and machine learning techniques.
• The accuracy of the model reached 92% in classifying messages based on training data and validation metrics.
• Assessment used deep learning methods to analyze text patterns and identify misinformation effectively.
• This approach highlights the potential of machine learning in improving information integrity, with broader applications in social media.