DISSECTING 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 raises a serious issue as individuals seeking aid may encounter unfair outcomes based on their race, gender, or other protected characteristics. It is crucial to deconstruct

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