EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health resources. However, these platforms often utilize algorithms that can reinforce existing societal biases. This raises a serious threat as users seeking help may encounter unfair outcomes based on their background, identity, or other protected characteristics. It is crucial to unpack

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