EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health resources. However, these platforms often utilize algorithms that can perpetuate existing societal biases. This raises a serious concern as users seeking support may encounter unfair outcomes based on their ethnicity, sex, or other personal traits. It is vital to deconstruct these ine

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