DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health resources. However, these systems often depend on algorithms that can reinforce existing societal biases. This presents a serious concern as users seeking support may encounter prejudiced outcomes based on their more info race, sex, or other protected characteristics. It is essential t

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