DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health resources. However, these systems often rely algorithms that can reinforce existing societal biases. This raises a serious concern as users seeking support may encounter discriminatory outcomes based on their background, gender, or other personal traits. It is crucial to unpack thes

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