EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health support. However, these systems often rely algorithms that can perpetuate existing societal biases. This raises a serious concern as users seeking support may encounter discriminatory outcomes based on their ethnicity, sex, or other sensitive attributes. website It is essential to un

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