acm_GE.2019.00012.bib

{Kr\"{u}ger, Stefan and Hermann, Ben}, title = {Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts}, year = {2019}, publisher = {IEEE Press}, url = {https://doi.org/10 [...] determine an author's gender. However, we find that the best approach in the current state-of-the-art works with an accuracy of only 93.4%. Moreover, we discuss the possible harm that gender identification [...] .}, booktitle = {Proceedings of the 2nd International Workshop on Gender Equality in Software Engineering}, pages = {13–16}, numpages = {4}, keywords = {gender detection, gender equality, gender ident …