DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these systems often depend on algorithms that can propagate existing societal biases. This poses a serious concern as people seeking support may encounter discriminatory outcomes based on their ethnicity, sex, or other sensitive attributes. It is crucial to unpack the

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