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The Users Aren't Alright: Dangerous Mental Illness Behaviors and Recommendations
In this paper, we argue that recommendation systems are in a unique position to propagate dangerous and cruel behaviors to people with mental illnesses.
To Infinity and Beyond! Accessibility is the Future for Kids' Search Engines
Seminal works have studied how children use mainstream search engines, as well as how to design and evaluate custom search engines explicitly for children.
Pink for Princesses, Blue for Superheroes: The Need to Examine Gender Stereotypes in Kid's Products in Search and Recommendations
In this position paper, we argue for the need to investigate if and how gender stereotypes manifest in search and recommender systems. As a starting point, we particularly focus on how these systems may propagate and reinforce gender stereotypes through their results in learning environments, a context where teachers and children in their formative stage regularly interact with these systems.
Evaluating Information Retrieval Systems for Kids
Evaluation of information retrieval systems (IRS) is a prominent topic among information retrieval researchers--mainly directed at a general population.
