EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health support. However, these systems often rely algorithms that can perpetuate existing societal biases. This presents a serious threat as individuals seeking help may encounter unfair outcomes based on their race, sex, or other personal traits. It is vital to unpack these inequalities and

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