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Spatio-Temporal Variation of Conversational Utterances on Twitter
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–D...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814942/ https://www.ncbi.nlm.nih.gov/pubmed/24204968 http://dx.doi.org/10.1371/journal.pone.0077793 |
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author | Alis, Christian M. Lim, May T. |
author_facet | Alis, Christian M. Lim, May T. |
author_sort | Alis, Christian M. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3814942 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38149422013-11-07 Spatio-Temporal Variation of Conversational Utterances on Twitter Alis, Christian M. Lim, May T. PLoS One Research Article 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. Public Library of Science 2013-10-31 /pmc/articles/PMC3814942/ /pubmed/24204968 http://dx.doi.org/10.1371/journal.pone.0077793 Text en © 2013 Alis, Lim http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Alis, Christian M. Lim, May T. Spatio-Temporal Variation of Conversational Utterances on Twitter |
title | Spatio-Temporal Variation of Conversational Utterances on Twitter |
title_full | Spatio-Temporal Variation of Conversational Utterances on Twitter |
title_fullStr | Spatio-Temporal Variation of Conversational Utterances on Twitter |
title_full_unstemmed | Spatio-Temporal Variation of Conversational Utterances on Twitter |
title_short | Spatio-Temporal Variation of Conversational Utterances on Twitter |
title_sort | spatio-temporal variation of conversational utterances on twitter |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814942/ https://www.ncbi.nlm.nih.gov/pubmed/24204968 http://dx.doi.org/10.1371/journal.pone.0077793 |
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