UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health resources. However, these systems often utilize algorithms that can propagate existing societal biases. This raises a serious issue as individuals seeking support may encounter prejudiced outcomes based on their ethnicity, identity, or other sensitive attributes. It is essential to a

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