EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

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

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