UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health resources. However, these platforms often rely algorithms that can perpetuate existing societal biases. This presents a serious issue as individuals seeking aid may encounter discriminatory outcomes based on their race, gender, or other protected characteristics. It is vital to analyz

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