UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health assistance. However, these systems often utilize algorithms that can propagate existing societal biases. This poses a serious concern as users seeking aid may encounter unfair outcomes based on their ethnicity, sex, or other personal traits. It is vital to analyze these inequalities

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