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Does Twitter Trigger Bursts in Signature Collections?
INTRODUCTION: The quantification of social media impacts on societal and political events is a difficult undertaking. The Japanese Society of Oriental Medicine started a signature-collecting campaign to oppose a medical policy of the Government Revitalization Unit to exclude a traditional Japanese m...
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/PMC3590117/ https://www.ncbi.nlm.nih.gov/pubmed/23484004 http://dx.doi.org/10.1371/journal.pone.0058252 |
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author | Yamaguchi, Rui Imoto, Seiya Kami, Masahiro Watanabe, Kenji Miyano, Satoru Yuji, Koichiro |
author_facet | Yamaguchi, Rui Imoto, Seiya Kami, Masahiro Watanabe, Kenji Miyano, Satoru Yuji, Koichiro |
author_sort | Yamaguchi, Rui |
collection | PubMed |
description | INTRODUCTION: The quantification of social media impacts on societal and political events is a difficult undertaking. The Japanese Society of Oriental Medicine started a signature-collecting campaign to oppose a medical policy of the Government Revitalization Unit to exclude a traditional Japanese medicine, “Kampo,” from the public insurance system. The signature count showed a series of aberrant bursts from November 26 to 29, 2009. In the same interval, the number of messages on Twitter including the keywords “Signature” and “Kampo,” increased abruptly. Moreover, the number of messages on an Internet forum that discussed the policy and called for signatures showed a train of spikes. METHODS AND FINDINGS: In order to estimate the contributions of social media, we developed a statistical model with state-space modeling framework that distinguishes the contributions of multiple social media in time-series of collected public opinions. We applied the model to the time-series of signature counts of the campaign and quantified contributions of two social media, i.e., Twitter and an Internet forum, by the estimation. We found that a considerable portion (78%) of the signatures was affected from either of the social media throughout the campaign and the Twitter effect (26%) was smaller than the Forum effect (52%) in total, although Twitter probably triggered the initial two bursts of signatures. Comparisons of the estimated profiles of the both effects suggested distinctions between the social media in terms of sustainable impact of messages or tweets. Twitter shows messages on various topics on a time-line; newer messages push out older ones. Twitter may diminish the impact of messages that are tweeted intermittently. CONCLUSIONS: The quantification of social media impacts is beneficial to better understand people’s tendency and may promote developing strategies to engage public opinions effectively. Our proposed method is a promising tool to explore information hidden in social phenomena. |
format | Online Article Text |
id | pubmed-3590117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35901172013-03-12 Does Twitter Trigger Bursts in Signature Collections? Yamaguchi, Rui Imoto, Seiya Kami, Masahiro Watanabe, Kenji Miyano, Satoru Yuji, Koichiro PLoS One Research Article INTRODUCTION: The quantification of social media impacts on societal and political events is a difficult undertaking. The Japanese Society of Oriental Medicine started a signature-collecting campaign to oppose a medical policy of the Government Revitalization Unit to exclude a traditional Japanese medicine, “Kampo,” from the public insurance system. The signature count showed a series of aberrant bursts from November 26 to 29, 2009. In the same interval, the number of messages on Twitter including the keywords “Signature” and “Kampo,” increased abruptly. Moreover, the number of messages on an Internet forum that discussed the policy and called for signatures showed a train of spikes. METHODS AND FINDINGS: In order to estimate the contributions of social media, we developed a statistical model with state-space modeling framework that distinguishes the contributions of multiple social media in time-series of collected public opinions. We applied the model to the time-series of signature counts of the campaign and quantified contributions of two social media, i.e., Twitter and an Internet forum, by the estimation. We found that a considerable portion (78%) of the signatures was affected from either of the social media throughout the campaign and the Twitter effect (26%) was smaller than the Forum effect (52%) in total, although Twitter probably triggered the initial two bursts of signatures. Comparisons of the estimated profiles of the both effects suggested distinctions between the social media in terms of sustainable impact of messages or tweets. Twitter shows messages on various topics on a time-line; newer messages push out older ones. Twitter may diminish the impact of messages that are tweeted intermittently. CONCLUSIONS: The quantification of social media impacts is beneficial to better understand people’s tendency and may promote developing strategies to engage public opinions effectively. Our proposed method is a promising tool to explore information hidden in social phenomena. Public Library of Science 2013-03-06 /pmc/articles/PMC3590117/ /pubmed/23484004 http://dx.doi.org/10.1371/journal.pone.0058252 Text en © 2013 Yamaguchi et al 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 Yamaguchi, Rui Imoto, Seiya Kami, Masahiro Watanabe, Kenji Miyano, Satoru Yuji, Koichiro Does Twitter Trigger Bursts in Signature Collections? |
title | Does Twitter Trigger Bursts in Signature Collections? |
title_full | Does Twitter Trigger Bursts in Signature Collections? |
title_fullStr | Does Twitter Trigger Bursts in Signature Collections? |
title_full_unstemmed | Does Twitter Trigger Bursts in Signature Collections? |
title_short | Does Twitter Trigger Bursts in Signature Collections? |
title_sort | does twitter trigger bursts in signature collections? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3590117/ https://www.ncbi.nlm.nih.gov/pubmed/23484004 http://dx.doi.org/10.1371/journal.pone.0058252 |
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