  Algorithmic discrimination is a condition that arises when data-driven
software unfairly treats users based on attributes like ethnicity, race,
gender, sexual orientation, religion, age, disability, or other personal
characteristics. Nowadays, as machine learning gains popularity, cases of
algorithmic discrimination are increasingly being reported in several contexts.
This study delves into various studies published over the years reporting
algorithmic discrimination. We aim to support software engineering researchers
and practitioners in addressing this issue by discussing key characteristics of
the problem
