UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health support. However, these systems often utilize algorithms that can reinforce existing societal biases. This raises a serious threat as individuals seeking aid may encounter prejudiced outcomes based on their background, gender, or other sensitive attributes. It is essential to analyz

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