DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health resources. However, these platforms often utilize algorithms that can reinforce existing societal biases. This presents a serious threat as people seeking aid may encounter prejudiced outcomes based on their ethnicity, sex, or other sensitive attributes. It is vital to analyze these

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