EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health resources. However, these tools often depend on algorithms that can reinforce existing societal biases. This raises a serious concern as individuals seeking help may encounter discriminatory outcomes based on their ethnicity, identity, or other personal traits. It is essential to an

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