UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health resources. However, these platforms often depend on algorithms that can reinforce existing societal biases. This presents a serious threat as people seeking aid may encounter unfair outcomes based on their ethnicity, sex, or other protected characteristics. It is crucial to analyze

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