EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health assistance. However, these systems often depend on algorithms that can reinforce existing societal biases. This poses a serious issue as users seeking help may encounter discriminatory outcomes based on their background, identity, or other sensitive attributes. It is crucial computer

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