UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health assistance. However, these platforms often rely algorithms that can reinforce existing societal biases. This poses a serious threat as people seeking help may encounter prejudiced outcomes based on their race, sex, or other sensitive attributes. It is essential to unpack these biases

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