DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these tools often rely algorithms that can reinforce existing societal biases. This raises a serious issue as people seeking aid may encounter prejudiced outcomes based on their background, identity, or other protected characteristics. It is essential to unpack these

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