DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health support. However, these tools often rely algorithms that can reinforce existing societal biases. This poses a serious concern as people seeking support may encounter discriminatory outcomes based on their background, gender, or other sensitive attributes. It is essential to unpack the

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