Detect social media fake news with graph machine learning

Social media is commonly used today for sharing and consuming news but the spread of fake news can negatively impact the company brand, reducing customer confidence, and impacting revenues. This session showcases how to detect fake news based on the content and social context of the news on social media with machine learning on AWS. We demonstrate how Amazon Neptune ML, a machine learning technique purpose-built for graphs enables accurate predictions using graph data in hours instead of weeks, without the need to learn new tools and ML technologies.

Previous Video
Building ML applications for real-time drone video streams
Building ML applications for real-time drone video streams

Drone data is becomingly increasingly important for many organizations due to its capabilities to collect i...

Next Video
Building an audio classifier with Amazon SageMaker
Building an audio classifier with Amazon SageMaker

Audio classification has numerous applications in the field of AI such as chatbots, automated voice transla...