Description
Censor user generated content on social media and other platforms
Linked Case Studies
Case Study
ACD Working Group on Artificial Intelligence - National Institutes of Health
Advisory committee to the National Institutes of Health to identify health needs in search query data in the US using machine learning
Case Study
Instagram
Instagram battles bullying on its platform with machine learning
Case Study
iQiyi
iQiyi automatically deletes 10% of censorship violating user uploaded content minimising the number of human censors needed through the use of machine learning
Case Study
Facebook
Facebook attemps to assess suicide risk of its users based on their public posts on the platform using AI
Case Study
Facebook
Facebook identifies and removes 8.7m child abuse images from its platform within a few months with machine learning
Case Study
Tumblr
Tumblr has an automatic adult content detection method but has been flagging the wrong images for removal
Case Study
Cornell University
Researchers identify healthcare knowledge gaps in Africa using search query data
Case Study
Elections Canada
Elections Canada plans to use AI to identify electoral misinformation campaigns on social media