EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these systems often depend on algorithms that can perpetuate existing societal biases. This presents a serious issue as individuals seeking help may encounter unfair outcomes based on their race, identity, or other personal traits. It is essential to deconstruct these

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