EXAMINING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to offer mental health resources. However, these tools often utilize algorithms that can perpetuate existing societal biases. This poses a serious concern as users seeking help may encounter discriminatory outcomes based on their background, gender, or other protected characteristics. It is vital to deconst

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