DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health resources. However, these tools often utilize algorithms that can propagate existing societal biases. This presents a serious concern as users seeking support may encounter unfair outcomes based on their ethnicity, gender, or other protected characteristics. It is vital to unpack th

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