DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health support. However, these systems often utilize algorithms that can perpetuate existing societal biases. This raises a serious concern as people seeking support may encounter unfair outcomes based on their background, identity, or other personal traits. It is essential to deconstruct th

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