Google Overhauls Search Algorithm in Bid to Fight Fake News

The Telegraph, 4/25/2017

Google is changing their search algorithm to better distinguish websites that contain fake news, conspiracy theories, or extreme views from more reputable sources or websites. The search engine’s Autosuggest and Direct Answer features will also be modified, to allow users to report offensive suggestions or false information (respectively). This comes after months of growing public pressure for Google to make changes to combat the spread of misinformation on the Internet.

New Internet Security Device Launched to Safeguard Schools Against Child Abuse

Plymouth University, 2/20/2017

The University of Plymouth has developed ICAlert, an easy-to-install device that monitors network traffic and sends alerts if users try to access dangerous web content (such as child pornography or terrorist sites). They aim to make browsing safer for children and teens by providing the devices and software to schools at a low cost.

Machine-Learning Algorithm Can Show Whether State Secrets Are Properly Classified

MIT Technology Review, 11/14/2016

Researchers from Columbia University and a Brazilian think tank have developed a machine-learning algorithm to predict whether now-declassified U.S. State Department cables from the 1970’s were unclassified, limited official use, confidential, or secret, based on contents and metadata such as sender and recipient. The study provides insight into how the information was classified, but also carries potential national security implications by highlighting trends in erroneous information classification — and systematic gaps where secret cables should have been declassified.