@inproceedings{f29efdcfc13f425bbd1bd2d41cf463d5,
title = "Authorship attribution of micro-messages",
abstract = "Work on authorship attribution has traditionally focused on long texts. In this work, we tackle the question of whether the author of a very short text can be successfully identified. We use Twitter as an experimental testbed. We introduce the concept of an author's unique {"}signature{"}, and show that such signatures are typical of many authors when writing very short texts. We also present a new authorship attribution feature ({"}flexible patterns{"}) and demonstrate a significant improvement over our baselines. Our results show that the author of a single tweet can be identified with good accuracy in an array of flavors of the authorship attribution task.",
author = "Roy Schwartz and Oren Tsur and Ari Rappoport and Moshe Koppel",
note = "Publisher Copyright: {\textcopyright} 2013 Association for Computational Linguistics.; 2013 Conference on Empirical Methods in Natural Language Processing, EMNLP 2013 ; Conference date: 18-10-2013 Through 21-10-2013",
year = "2013",
month = jan,
day = "1",
language = "English",
series = "EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference",
publisher = "Association for Computational Linguistics (ACL)",
pages = "1880--1891",
booktitle = "EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference",
address = "United States",
}