DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health support. However, these platforms often rely algorithms that can reinforce existing societal biases. This poses a serious issue as people seeking aid may encounter discriminatory outcomes based on their race, sex, or other sensitive attributes. It is crucial to deconstruct these ine

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