DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health support. However, these tools often depend on algorithms that can perpetuate existing societal biases. This presents a serious threat as individuals seeking help may encounter prejudiced outcomes based on their background, identity, or other sensitive attributes. It is essential che

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