EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health resources. However, these platforms often utilize algorithms that can reinforce existing societal biases. This raises a serious concern as users seeking aid may encounter prejudiced outcomes based on their background, sex, or other personal traits. It is vital to deconstruct these bi

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