EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to deliver mental health resources. However, these platforms often rely algorithms that can reinforce existing societal biases. This presents a serious concern as individuals seeking aid may encounter discriminatory outcomes based on their background, gender, or other protected characteristics. It is vital t

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