UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health resources. However, these platforms often utilize algorithms that can reinforce existing societal biases. This presents a serious issue as users seeking support may encounter unfair outcomes based on their background, gender, or other sensitive attributes. It is vital to deconstruct

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