DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health resources. However, these tools often rely algorithms that can propagate existing societal biases. This poses a serious threat as people seeking aid may encounter prejudiced outcomes based on their background, sex, or other protected characteristics. It is vital to analyze these biases

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