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
-
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
-
ComputersDaemons are the programs that run the internet. Here’s why it’s important to understand them.
-
AppsResearchers develop automated approach to extract security policies from software
-
AppsSafety app for drivers debuts in flood-plagued Virginia city
