EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital 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 individuals seeking support may encounter discriminatory outcomes based on their ethnicity, sex, or other protected characteristics. It is e

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