DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health assistance. However, these platforms often rely algorithms that can reinforce existing societal biases. This presents a serious threat as people seeking aid may encounter discriminatory outcomes based on their background, gender, or other protected characteristics. It is vital to unpa

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