EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health resources. However, these platforms often rely algorithms that can propagate existing societal biases. This poses a serious threat as users seeking support may encounter discriminatory outcomes based on their background, identity, or other personal traits. It is crucial to deconstruct

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