UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these tools often depend on algorithms that can reinforce existing societal biases. This raises a serious concern as people seeking help may encounter discriminatory outcomes based on their ethnicity, sex, or other sensitive attributes. It is vital to analyze these in

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