social-media

health

RoBERTa model predicts depression-related Twitter users with 0.822 accuracy in preprint

A medRxiv preprint reports that a RoBERTa model classified depression-related Twitter users with 0.822 accuracy on an 80/20 training–testing split. The study also used GPT-4o to identify themes in posts, including societal pressure and low self-esteem.

2026-09-26T15:54:32+05:30

technology

Meta begins testing Community Notes in 16 Spanish-speaking Latin American countries

Meta has opened a gradual, non-public Community Notes test across 16 Spanish-speaking Latin American countries. Independent fact-checking will continue during the test.

2026-09-11