UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health assistance. However, these systems often utilize algorithms that can perpetuate existing societal biases. This presents a serious threat as users seeking help may encounter discriminatory outcomes based on their race, sex, or other personal traits. It is essential to deconstruct these

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