EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health resources. However, these systems often utilize algorithms that can reinforce existing societal biases. This poses a serious concern as users seeking aid may encounter unfair outcomes based on their background, identity, or other personal traits. It is vital to analyze these biases a

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