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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.
Towards Practices for Human-Centered Machine Learning
"Human-centered machine learning" (HCML) is a term that describes machine learning that applies to human-focused problems.
Data Leverage: A Framework for Empowering the Public in its Relationship with Technology Companies
Many powerful computing technologies rely on implicit and explicit data contributions from the public.
Fairness
Computers and Society
#anorexia, #anarexia, #anarexyia: Characterizing Online Community Practices with Orthographic Variation
We also demonstrate the utility of orthographic variation as a new lens to study sociolinguistic change in online communities, particularly when the change results from an exogenous force such as a content ban.
