How Facebook uses machine learning to detect fake accounts #MachineLearning #DeepEntityClassification #Facebook
At best fake accounts are a nuisance but they can often be more sinister. These accounts traffic in malware and false information. Facebook has an AI system used to detect these malicious accounts.
DEC learns to differentiate fake and real users by their connection patterns across the network. It calls these “deep features,” and they include things like the average age or gender distribution of the user’s friends. Facebook uses over 20,000 deep features to characterize each account, providing a snapshot of how each profile behaves to make it difficult for attackers to game the system by changing tactics.
The system starts by using a large number of low-precision machine-generated labels. These are generated through a mix of rules and other machine-learning models that estimate whether users are real or fake. Once that data is used to train a neural network, the model is then fine-tuned with a small batch of high-precision hand-labeled data, generated by people around the world who have an understanding of local cultural norms.
Adafruit publishes a wide range of writing and video content, including interviews and reporting on the maker market and the wider technology world. Our standards page is intended as a guide to best practices that Adafruit uses, as well as an outline of the ethical standards Adafruit aspires to. While Adafruit is not an independent journalistic institution, Adafruit strives to be a fair, informative, and positive voice within the community – check it out here: adafruit.com/editorialstandards
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Have an amazing project to share? The Electronics Show and Tell is every Wednesday at 7:30pm ET! To join, head over to YouTube and check out the show’s live chat and our Discord!
