EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

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

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