EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health resources. However, these platforms often rely algorithms that can reinforce existing societal biases. This presents a serious concern as people seeking support may encounter unfair outcomes based on their ethnicity, gender, or other personal traits. It is essential to deconstruct thes

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