DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health resources. However, these tools often depend on algorithms that can reinforce existing societal biases. This presents a serious threat as users seeking support may encounter unfair outcomes based on their background, sex, or other sensitive attributes. It is crucial to unpack these

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