EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health assistance. However, these platforms often rely algorithms that can perpetuate existing societal biases. This raises a serious threat as individuals seeking support may encounter unfair outcomes based on their race, gender, or other sensitive attributes. It is crucial to analyze the

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