DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health resources. However, these systems often rely algorithms that can reinforce existing societal biases. This raises a serious issue as individuals seeking help may encounter prejudiced outcomes based website on their ethnicity, identity, or other sensitive attributes. It is crucial to an

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