EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health support. However, these tools often utilize algorithms that can perpetuate existing societal biases. This poses a serious concern as users seeking aid may encounter unfair outcomes based on their background, gender, or other sensitive attributes. It is essential to unpack these dispar

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