UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health resources. However, these systems often depend on algorithms that can propagate existing societal biases. This poses a serious threat as people seeking help may encounter unfair outcomes based on their background, gender, or other personal traits. It is essential to unpack these bias

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