UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to offer mental health assistance. However, these platforms often depend on algorithms that can perpetuate existing societal biases. This presents a serious concern as users seeking help may encounter discriminatory outcomes based on their ethnicity, gender, or other protected characteristics. It is vital to

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