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(HealthDay News) — Race-based differences exist in the expression of depression in social media language, according to a study published online March 26 in the Proceedings of the National Academy of Sciences.

Sunny Rai, PhD, from the University of Pennsylvania in Philadelphia, and colleagues examined how race moderates the relationship between language features from Facebook social media posts (i.e., first-person pronouns and negative emotions) and self-reported depression. The analysis included a matched sample of 868 Black and white, English-speaking individuals.

The researchers found that depression severity predicts I-usage in white individuals, but does not in Black individuals. More belongingness and self-deprecation-related negative emotions were used by white participants. Despite training machine learning models on similar amounts...

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Topics: AI (Artificial Intelligence), Mental Health, Patient / Consumer, Provider, Social Media, Survey / Study, Technology, Trends
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