DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health resources. However, these tools often rely algorithms that can reinforce existing societal biases. This poses a serious concern as people seeking support may encounter unfair outcomes based on their background, gender, or other sensitive attributes. It is vital to analyze these biase

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