EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to deliver mental health assistance. However, these platforms often depend on algorithms that can perpetuate existing societal biases. This presents a serious threat as people seeking support may encounter prejudiced outcomes based on their ethnicity, sex, or other protected characteristics. It is essential

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