EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health resources. However, these systems often depend on algorithms that can propagate existing societal biases. This raises a serious concern as people seeking support may encounter prejudiced outcomes based on their race, identity, or other protected characteristics. It is vital to unpack

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