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Political polarization in social media: Analysis of the “Twitter political field” in Japan

机译:社交媒体中的政治极化:日本“Twitter政治领域”分析

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There is an ongoing debate about whether the Internet is like a public sphere or an echo chamber. Among many forms of social media, Twitter is one of the most crucial online places for political debate. Most of the previous studies focus on the formal structure of the Twitter political field, such as its homophilic tendency, or otherwise limit the analysis to a few topics. In order to explore whether Twitter functions as an echo chamber in general, however, we have to investigate not only the structure but also the contents of Twitter's political field. Accordingly, we conducted both large-scale social network analysis and natural language processing. We firstly applied a community detection method to the reciprocal following network in Twitter and found five politically distinct communities in the field. We further examined dominant topics discussed therein by employing a topic model in analyzing the content of the tweets, and we found that a topic related to xenophobia is circulated solely in right-wing communities. To our knowledge, this is the first study to address echo chambers in Japanese Twitter political field and to examine the formal structure and the contents of tweets with the combination of large-scale social network analysis and natural language processing.
机译:有关互联网是否像公共领域或回声室的持续辩论。在许多形式的社交媒体中,Twitter是政治辩论中最关键的在线位置之一。大多数以前的研究侧重于推特政治领域的正式结构,例如其同性恋倾向,或以其他方式将分析限制在几个主题。为了探索Twitter是否用作回声室,然而,我们不仅要调查了结构,也必须调查Twitter政治领域的内容。因此,我们进行了大规模的社交网络分析和自然语言处理。我们首先将社区检测方法应用于Twitter中的网络之后的互惠性检测方法,发现了该领域的五个政治上不同的社区。我们通过在分析推文的内容时进一步研究其中讨论的主导主题,我们发现与仇外心理有关的话题仅在右翼社区中传播。为了我们的知识,这是第一次参加日本Twitter政治领域的回声室,并通过大规模社会网络分析和自然语言处理的结合来研究正式的结构和推文的内容。

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