DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health assistance. However, these platforms often utilize algorithms that can reinforce existing societal biases. This poses a serious concern as people seeking help may encounter prejudiced outcomes based on their background, gender, or other protected characteristics. It is crucial to deco

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