@inproceedings{72204aac384c445b9e094369991d52fb,
title = "TweetGenie: Development, Evaluation, and Lessons Learned",
abstract = "TweetGenie is an online demo that infers the gender and age of Twitter users based on their tweets. TweetGenie was able to attract thousands of visitors. We collected data by asking feedback from visitors and launching an online game. In this paper, we describe the development of TweetGenie and evaluate the demo based on the received feedback and manual annotation. We also reflect on practical lessons learned from launching a demo for the general public.",
keywords = "EWI-25497, tweetgenie, Twitter, METIS-309771, Age, Gender, IR-94056, natural language processing",
author = "Dong-Phuong Nguyen and Trieschnigg, {Rudolf Berend} and Theo Meder",
year = "2014",
month = aug,
day = "23",
language = "Undefined",
isbn = "978-1-941643-27-3",
publisher = "Association for Computational Linguistics (ACL)",
pages = "62--66",
booktitle = "Proceedings of the 25th International Conference on Computational Linguistics, COLING 2014",
address = "United States",
note = "25th International Conference on Computational Linguistics, COLING 2014 ; Conference date: 23-08-2014 Through 29-08-2014",
}