DISSECTING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The digital landscape is rapidly evolving to deliver mental health assistance. However, these platforms often depend on algorithms that can perpetuate existing societal biases. This presents a serious threat as individuals seeking aid may encounter discriminatory outcomes based on their background, identity, or other personal traits. It is essentia

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