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280字及以内的道德表达:对2016年英国脱欧公投后政治家推文的分析

Moral Expressions in 280 Characters or Less: An Analysis of Politician Tweets Following the 2016 Brexit Referendum Vote.

作者信息

van Vliet Livia

机构信息

Department of Sociology, Amsterdam Institute for Social Science Research, University of Amsterdam, Amsterdam, Netherlands.

出版信息

Front Big Data. 2021 Jul 1;4:699653. doi: 10.3389/fdata.2021.699653. eCollection 2021.

DOI:10.3389/fdata.2021.699653
PMID:34278298
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8281012/
Abstract

Ideas about morality are deeply entrenched into political opinions. This article examines the online communication of British parliamentarians from May 2017-December 2019, following the 2016 referendum that resulted in Britain's exit (Brexit) from the European Union. It aims to uncover how British parliamentarians use moral foundations to discuss the Brexit withdrawal agreement on Twitter, using Moral Foundations Theory as a classification basis for their tweets. It is found that the majority of Brexit related tweets contain elements of moral reasoning, especially relating to the foundations of Authority and Loyalty. There are common underlying foundations between parties, but parties express opposing viewpoints within a single foundation. The study provides useful insights into Twitter's use as an arena for moral argumentation, as well as uncovers the politician's uses of moral arguments during Brexit agreement negotiations on Twitter. It contributes to the limited body of work focusing on the moral arguments made by politicians through Twitter.

摘要

道德观念深深植根于政治观点之中。本文考察了2016年英国脱欧公投后,即2017年5月至2019年12月期间英国议员的在线交流情况。公投结果是英国退出欧盟(脱欧)。本文旨在揭示英国议员如何利用道德基础在推特上讨论脱欧协议,以道德基础理论作为其推文的分类依据。研究发现,大多数与脱欧相关的推文都包含道德推理元素,尤其是与权威和忠诚基础相关的元素。各政党之间存在共同的潜在基础,但政党在单一基础内表达对立观点。该研究为推特作为道德论证平台的使用提供了有益见解,同时也揭示了政治家在推特上就脱欧协议谈判时对道德论证的运用。它为专注于政治家通过推特进行道德论证的有限研究工作做出了贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf54/8281012/d2c6eee00724/fdata-04-699653-g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf54/8281012/29e00c4065c2/fdata-04-699653-g002.jpg
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