EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to deliver mental health resources. However, these platforms often rely algorithms that can propagate existing societal biases. This raises a serious issue as people seeking help may encounter prejudiced outcomes based on their background, gender, or other personal traits. It is vital to unpack these inequa

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