UNPACKING ALGORITHMIC BIAS IN ONLINE MENTAL HEALTH RESOURCES

The online landscape is rapidly evolving to provide mental health support. However, these tools often rely algorithms that can propagate existing societal biases. This poses a serious concern as individuals seeking help may encounter unfair outcomes based on their ethnicity, identity, or other personal traits. It is essential to analyze these biase

consumer comprehension of the material of a web site normally will depend on user comprehension of how the web site works. This is a component from the user knowledge design. person encounter is related to structure, very clear Guidance, and labeling on an internet site. How properly a user understands how they can interact on the internet site may