Unpacking Algorithmic Bias in Online Mental Health Resources

The online landscape is rapidly evolving to provide mental health support. However, these platforms often depend on algorithms that can reinforce existing societal biases. This poses a serious concern as users seeking support may encounter unfair outcomes based on their ethnicity, gender, or other personal traits. It is essential to unpack these in

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