UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health assistance. However, these tools often utilize algorithms that can propagate existing societal biases. This raises a serious threat as users seeking support may encounter unfair outcomes based on their ethnicity, identity, or other protected characteristics. It is vital to unpack thes

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