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Japanese conservative messages propagate to moderate users better than their liberal counterparts on Twitter
To examine conservative–liberal differences in the extent to which partisan tweets reach less partisan moderate users in a nonwestern context, we analyzed a network of retweets about former Japanese Prime Minister Shinzo Abe. The analyses consistently demonstrated that partisan tweets originating fr...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488035/ https://www.ncbi.nlm.nih.gov/pubmed/34602612 http://dx.doi.org/10.1038/s41598-021-98349-2 |
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author | Yoshida, Mitsuo Sakaki, Takeshi Kobayashi, Tetsuro Toriumi, Fujio |
author_facet | Yoshida, Mitsuo Sakaki, Takeshi Kobayashi, Tetsuro Toriumi, Fujio |
author_sort | Yoshida, Mitsuo |
collection | PubMed |
description | To examine conservative–liberal differences in the extent to which partisan tweets reach less partisan moderate users in a nonwestern context, we analyzed a network of retweets about former Japanese Prime Minister Shinzo Abe. The analyses consistently demonstrated that partisan tweets originating from the conservative cluster reach a wider range of moderate users than those from the liberal cluster. Network analyses revealed that while the conservative and the liberal clusters’ internal structures were similar, the conservative cluster reciprocated the follows from moderate accounts at a higher rate than the liberal cluster. In addition, moderate accounts reciprocated the conservative cluster’s following at a higher rate than they did for the liberal cluster. The analysis of tweet content showed no difference in the frequency of hashtag use between conservatives and liberals, but there were differences in the use of emotion words and linguistic expressions. In particular, emotion words related to the propagation of messages, such as those expressing “dislike”, were used more frequently by conservatives, while the use of adjectives by conservatives was closer to that of moderate users, indicating that conservative tweets are more palatable for moderate users than liberal tweets. |
format | Online Article Text |
id | pubmed-8488035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-84880352021-10-05 Japanese conservative messages propagate to moderate users better than their liberal counterparts on Twitter Yoshida, Mitsuo Sakaki, Takeshi Kobayashi, Tetsuro Toriumi, Fujio Sci Rep Article To examine conservative–liberal differences in the extent to which partisan tweets reach less partisan moderate users in a nonwestern context, we analyzed a network of retweets about former Japanese Prime Minister Shinzo Abe. The analyses consistently demonstrated that partisan tweets originating from the conservative cluster reach a wider range of moderate users than those from the liberal cluster. Network analyses revealed that while the conservative and the liberal clusters’ internal structures were similar, the conservative cluster reciprocated the follows from moderate accounts at a higher rate than the liberal cluster. In addition, moderate accounts reciprocated the conservative cluster’s following at a higher rate than they did for the liberal cluster. The analysis of tweet content showed no difference in the frequency of hashtag use between conservatives and liberals, but there were differences in the use of emotion words and linguistic expressions. In particular, emotion words related to the propagation of messages, such as those expressing “dislike”, were used more frequently by conservatives, while the use of adjectives by conservatives was closer to that of moderate users, indicating that conservative tweets are more palatable for moderate users than liberal tweets. Nature Publishing Group UK 2021-10-04 /pmc/articles/PMC8488035/ /pubmed/34602612 http://dx.doi.org/10.1038/s41598-021-98349-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Yoshida, Mitsuo Sakaki, Takeshi Kobayashi, Tetsuro Toriumi, Fujio Japanese conservative messages propagate to moderate users better than their liberal counterparts on Twitter |
title | Japanese conservative messages propagate to moderate users better than their liberal counterparts on Twitter |
title_full | Japanese conservative messages propagate to moderate users better than their liberal counterparts on Twitter |
title_fullStr | Japanese conservative messages propagate to moderate users better than their liberal counterparts on Twitter |
title_full_unstemmed | Japanese conservative messages propagate to moderate users better than their liberal counterparts on Twitter |
title_short | Japanese conservative messages propagate to moderate users better than their liberal counterparts on Twitter |
title_sort | japanese conservative messages propagate to moderate users better than their liberal counterparts on twitter |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8488035/ https://www.ncbi.nlm.nih.gov/pubmed/34602612 http://dx.doi.org/10.1038/s41598-021-98349-2 |
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