Inferring Gender from Names on the Web: A Comparative Evaluation of Gender Detection Methods

@article{Karimi2016InferringGF,
  title={Inferring Gender from Names on the Web: A Comparative Evaluation of Gender Detection Methods},
  author={F. Karimi and Claudia Wagner and Florian Lemmerich and M. Jadidi and M. Strohmaier},
  journal={Proceedings of the 25th International Conference Companion on World Wide Web},
  year={2016}
}
Computational social scientists often harness the Web as a "societal observatory" where data about human social behavior is collected. This data enables novel investigations of psychological, anthropological and sociological research questions. However, in the absence of demographic information, such as gender, many relevant research questions cannot be addressed. To tackle this problem, researchers often rely on automated methods to infer gender from name information provided on the web… Expand
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