EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health resources. However, these tools often utilize algorithms that can propagate existing societal biases. This poses a serious concern as users seeking support may encounter prejudiced outcomes based on their background, identity, or other sensitive attributes. It is crucial to unpack th

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