为什么网上有这么多极端的观点?:日本、韩国和美国的实证比较分析

Shinichi Yamaguchi
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引用次数: 0

摘要

本研究旨在验证以下假设:持极端观点的人比持温和观点的人在社交媒体上发帖更多。设计/方法/方法构建了一个社交媒体发布模型来估计极端观点对日本、韩国和美国社交媒体发布数量的影响。为了进行定量验证,使用Tobit模型对5,095份问卷调查的数据进行回归。研究发现,在这三个国家,极端观点增加了社交媒体帖子的数量,也增加了两个调查主题(日本的宪法修正案和日本、韩国和美国的外国人数量增加)。此外,对话题的兴趣越高,效果越大。这一假设因此得到了支持。研究局限性/启示:该调查是在线进行的,韩国和美国的样本量比日本小。专题限于两个,而且只包括三个国家。社会影响人们应该使用社交媒体,因为网上有很多极端的观点。提供社交媒体平台的公司应该考虑采取措施,确保用户不会只接触到极端观点。原创性/价值本研究定量分析了意见极端化对社交媒体发布行为的影响,以及由此导致的网络意见分布偏差,这是一个之前研究较少的话题。同行评议本文的同行评议历史可在:https://publons.com/publon/10.1108/OIR-07-2020-0310。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Why are there so many extreme opinions online?: An empirical, comparative analysis of Japan, Korea and the USA
PurposeThis study aims to verify the following hypothesis: People with extreme opinions post on social media more than those with moderate opinions.Design/methodology/approachA social media posting model was constructed to estimate the influence of extreme opinions on the number of social media posts in Japan, Korea and the USA. For a quantitative verification, data from 5,095 questionnaire surveys were regressed using a Tobit model.FindingsExtreme opinions were found to increase the number of social media posts in all three countries and for both surveyed topics (constitutional amendment in Japan and increasing number of foreigners in Japan, Korea and the USA). Furthermore, the higher the interest in the topic, the greater the effect. The hypothesis was thus supported.Research limitations/implicationsThe survey was conducted online, and the sample size in Korea and the USA was smaller than in Japan. The topics were limited to two, and only three countries were included.Social implicationsPeople should use social media knowing that there are numerous extreme views online. Companies that provide social media platforms should consider measures to ensure that users are not exclusively exposed to extreme opinions.Originality/valueThis research conducts a quantitative analysis on the effects of opinion extremity on social media posting behavior and the resulting bias in online opinion distribution, a topic on which there is scant prior research.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-07-2020-0310.
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