EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to provide mental health resources. However, these platforms often rely algorithms that can perpetuate existing societal biases. This presents a serious issue as people seeking aid may encounter unfair outcomes based on their ethnicity, gender, or other personal traits. It is crucial to deconstruct these bi

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