EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health assistance. However, these platforms often utilize algorithms that can propagate existing societal biases. This poses a serious issue as users seeking help may encounter unfair outcomes based on their background, identity, or other personal traits. It is essential to unpack these ine

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