@inproceedings{b757d13d792e4e4f985531ff23633649,
title = "When is it biased? Assessing the representativeness of twitter's streaming API",
abstract = "Twitter shares a free 1% sample of its tweets through the Streaming API{"}. Recently, research has pointed to evidence of bias in this source. The methodologies proposed in previous work rely on the restrictive and expensive Firehose to find the bias in the Streaming API data. We tackle the problem of finding sample bias without costly and restrictive Firehose data. We propose a solution that focuses on using an open data source to find bias in the Streaming API.",
keywords = "Big data, Data sampling, Sampling bias, Twitter analysis",
author = "Fred Morstatter and J{\"u}rgen Pfeffer and Huan Liu",
note = "Funding Information: This work is sponsored, in part, by Office of Naval Research grants N000141010091 and N000141110527. The full version of this paper can be found here: http://arxiv.org/ abs/1401.7909. Publisher Copyright: {\textcopyright} Copyright 2014 by the International World Wide Web Conferences Steering Committee.; 23rd International Conference on World Wide Web, WWW 2014 ; Conference date: 07-04-2014 Through 11-04-2014",
year = "2014",
month = apr,
day = "7",
doi = "10.1145/2567948.2576952",
language = "English (US)",
series = "WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web",
publisher = "Association for Computing Machinery, Inc",
pages = "555--556",
booktitle = "WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web",
}