EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health resources. However, these systems often depend on algorithms that can reinforce existing societal biases. This poses a serious concern as people seeking support may encounter discriminatory outcomes based on their ethnicity, gender, or other sensitive attributes. It is crucial to an

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