UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health resources. However, these systems often rely algorithms that can propagate existing societal biases. This raises a serious threat as users seeking support may encounter unfair outcomes based on their race, gender, or other protected characteristics. It is vital to unpack these biases

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