DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health support. However, these systems often rely algorithms that can propagate existing societal biases. This raises a serious concern as individuals seeking help may encounter discriminatory outcomes based on their background, identity, or other protected characteristics. It is essential

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