UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to deliver mental health assistance. However, these platforms often rely algorithms that can propagate existing societal biases. This presents a serious issue as people seeking support may encounter unfair outcomes based on their ethnicity, gender, or other personal traits. It is essential to analyze these

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