Researchers have developed an algorithm that can identify the basic needs of users from the text and images they share on social networks. The experts hope this tool will help psychologists to diagnose possible mental health problems. The study suggests that Spanish-speaking users are more likely to mention relationship problems when feeling depressed than English speakers.
An algorithm trained to detect unhappiness on social networks
-
SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
-
Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
-
InternetRegulating online hate will have unintended, but predictable, consequences
-
Featured HeadlinesBeyond a technical bug: Biased algorithms and moderation are censoring activists on social media
-
Featured HeadlinesGovernment agencies are tapping a facial recognition company to prove you’re you – here’s why that raises concerns about privacy, accuracy and fairness
-
Featured HeadlinesTech giants need to step up to help close Canada’s digital divide
