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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...

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Detalles Bibliográficos
Autores principales: Alis, Christian M., Lim, May T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
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.
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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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