EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health resources. However, these platforms often depend on algorithms that can reinforce existing societal biases. This poses a serious issue as individuals seeking support may encounter prejudiced outcomes based on their background, identity, or other sensitive attributes. It is essential

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