EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health assistance. However, these platforms often utilize algorithms that can perpetuate existing societal biases. This presents a serious threat as people seeking help may encounter discriminatory outcomes based on their ethnicity, gender, or other personal traits. It is vital to unpack th

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