Spatio-temporal variation of conversational utterances on Twitter
Physics and Society
2013-11-05 v3 Computation and Language
Social and Information Networks
Abstract
Conversations reflect the existing norms of a language. Previously, we found that utterance lengths in English fictional conversations in books and movies have shortened over a period of 200 years. In this work, we show that this shortening occurs even for a brief period of 3 years (September 2009-December 2012) using 229 million utterances from Twitter. Furthermore, the subset of geographically-tagged tweets from the United States show an inverse proportion between utterance lengths and the state-level percentage of the Black population. We argue that shortening of utterances can be explained by the increasing usage of jargon including coined words.
Keywords
Cite
@article{arxiv.1310.2479,
title = {Spatio-temporal variation of conversational utterances on Twitter},
author = {Christian M. Alis and May T. Lim},
journal= {arXiv preprint arXiv:1310.2479},
year = {2013}
}
Comments
13 pages, 7 figures, published in PLoS One