UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health assistance. However, these systems often depend on algorithms that can reinforce existing societal biases. This raises a serious threat as people seeking help may encounter discriminatory outcomes based on their race, identity, or other personal traits. It is crucial to deconstruct the

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