@inproceedings{conf/misnc/MuellerS16,
  added-at = {2020-09-05T00:00:00.000+0200},
  author = {Mueller, Juergen and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/255b5d829f8a0c570cb8541e933261fde/dblp},
  booktitle = {MISNC},
  crossref = {conf/misnc/2016},
  ee = {https://doi.org/10.1145/2955129.2955182},
  interhash = {a6e75490c82342d6b9c0a19fcf96898e},
  intrahash = {55b5d829f8a0c570cb8541e933261fde},
  isbn = {978-1-4503-4129-5},
  keywords = {dblp},
  pages = 47,
  publisher = {ACM},
  timestamp = {2020-09-09T14:49:49.000+0200},
  title = {Gender Inference using Statistical Name Characteristics in Twitter.},
  url = {http://dblp.uni-trier.de/db/conf/misnc/misnc2016.html#MuellerS16},
  year = 2016
}

@inproceedings{mueller-2016,
  abstract = {Much attention has been given to the task of gender inference of Twitter users. Although names are strong gender indicators, the names of Twitter users are rarely used as a feature; probably due to the high number of ill-formed names, which cannot be found in any name dictionary. Instead of relying solely on a name database, we propose a novel name classifier. Our approach extracts characteristics from the user names and uses those in order to assign the names to a gender. This enables us to classify international first names as well as ill-formed names.},
  added-at = {2019-02-15T11:14:49.000+0100},
  address = {New York, NY, USA},
  author = {Mueller, Juergen and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/2038dca858864c36223ba0dc42a118ca4/stumme},
  booktitle = {5th ASE International Conference on Social Informatics (SocInfo 2016), Union, NJ, USA, August 15-17, 2016. Proceedings},
  doi = {10.1145/2955129.2955182},
  interhash = {a6e75490c82342d6b9c0a19fcf96898e},
  intrahash = {038dca858864c36223ba0dc42a118ca4},
  isbn = {978-1-4503-4129-5},
  keywords = {2016 ACM ITeGPub InProceedings KDE SocInfo arXiv myown},
  month = aug,
  pages = {47:1--47:8},
  publisher = {ACM},
  timestamp = {2019-02-15T11:14:49.000+0100},
  title = {Gender Inference using Statistical Name Characteristics in Twitter},
  url = {http://dx.doi.org/10.1145/2955129.2955182},
  year = 2016
}

@inproceedings{mueller-2016,
  abstract = {Much attention has been given to the task of gender inference of Twitter users. Although names are strong gender indicators, the names of Twitter users are rarely used as a feature; probably due to the high number of ill-formed names, which cannot be found in any name dictionary. Instead of relying solely on a name database, we propose a novel name classifier. Our approach extracts characteristics from the user names and uses those in order to assign the names to a gender. This enables us to classify international first names as well as ill-formed names.},
  added-at = {2018-08-30T12:22:47.000+0200},
  address = {New York, NY, USA},
  author = {Mueller, Juergen and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/2038dca858864c36223ba0dc42a118ca4/kde-alumni},
  booktitle = {5th ASE International Conference on Social Informatics (SocInfo 2016), Union, NJ, USA, August 15-17, 2016. Proceedings},
  doi = {10.1145/2955129.2955182},
  interhash = {a6e75490c82342d6b9c0a19fcf96898e},
  intrahash = {038dca858864c36223ba0dc42a118ca4},
  isbn = {978-1-4503-4129-5},
  keywords = {2016 ACM ITeGPub InProceedings KDE SocInfo arXiv myown},
  month = aug,
  pages = {47:1--47:8},
  publisher = {ACM},
  timestamp = {2018-08-30T12:22:47.000+0200},
  title = {Gender Inference using Statistical Name Characteristics in Twitter},
  url = {http://dx.doi.org/10.1145/2955129.2955182},
  year = 2016
}

@article{journals/corr/MuellerS16,
  added-at = {2018-08-13T00:00:00.000+0200},
  author = {Mueller, Juergen and Stumme, Gerd},
  biburl = {https://www.bibsonomy.org/bibtex/267b44346e2833a6c7182150b16ee5543/dblp},
  ee = {http://arxiv.org/abs/1606.05467},
  interhash = {a6e75490c82342d6b9c0a19fcf96898e},
  intrahash = {67b44346e2833a6c7182150b16ee5543},
  journal = {CoRR},
  keywords = {dblp},
  timestamp = {2018-08-14T15:05:26.000+0200},
  title = {Gender Inference using Statistical Name Characteristics in Twitter.},
  url = {http://dblp.uni-trier.de/db/journals/corr/corr1606.html#MuellerS16},
  volume = {abs/1606.05467},
  year = 2016
}