DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to provide mental health support. However, these systems often rely algorithms that can propagate existing societal biases. This presents a serious threat as individuals seeking support may encounter discriminatory outcomes based on their background, gender, or other personal traits. It is crucial to analyz

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