EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health resources. However, these platforms often rely algorithms that can perpetuate existing societal biases. This presents a serious concern as users seeking aid may encounter discriminatory outcomes based on their ethnicity, sex, or other personal traits. It is crucial to analyze these

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