Before revision:  Mitigating bias when algorithms are trainedon textual data is particularly challenging given the complex way gender ideology is embedded in language.
After revision:  Mitigating bias when algorithms are trained on textual data is particularly challenging given the complex way gender ideology is embedded in language.