EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health support. However, these platforms often utilize algorithms that can reinforce existing societal biases. This raises a serious issue as people seeking aid may encounter prejudiced outcomes based on their ethnicity, gender, or other personal traits. It is essential to deconstruct these i

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