A study by Stony Brook University, published in Nature Digital Medicine, demonstrates that artificial intelligence (AI) can assess community mental health by analyzing social media language. The research analyzed over 1 billion tweets from 2019 to 2020 across more than 1,400 U.S. counties, identifying spikes in anxiety and depression during events like the COVID-19 pandemic and the George Floyd protests. The AI's findings closely matched those of traditional surveys, offering a more timely and cost-effective method for monitoring public mental health.