EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health support. However, these platforms often depend on algorithms that can perpetuate existing societal biases. This poses a serious concern as individuals seeking help may encounter discriminatory outcomes based on their ethnicity, sex, or other personal traits. It is crucial to unpack

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