EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health assistance. However, these platforms often depend on algorithms that can propagate existing societal biases. This raises a serious issue as individuals seeking help may encounter unfair outcomes based on their race, sex, or other sensitive attributes. It is essential to analyze these

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