EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health support. However, these systems often utilize algorithms that can perpetuate existing societal biases. This poses a serious issue as people seeking aid may encounter prejudiced outcomes based on their race, gender, or other sensitive attributes. It is essential to unpack these dispar

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