EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health assistance. However, these platforms often utilize algorithms that can reinforce existing societal biases. This presents a serious threat as individuals seeking support may encounter unfair outcomes based on their ethnicity, sex, or other personal traits. It is vital to analyze thes

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