UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The virtual landscape is rapidly evolving to offer mental health support. However, these platforms often depend on algorithms that can propagate existing societal biases. This poses a serious concern as people seeking help may encounter discriminatory outcomes based on their background, gender, or other personal traits. It is essential to deconstru

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