UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health assistance. However, these systems often rely algorithms that can propagate existing societal biases. This poses a serious issue as individuals seeking support may encounter discriminatory outcomes based on their ethnicity, gender, or other protected characteristics. It is essential t

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