A Profile of Netto-uyoku : Quantitative Data Analysis of Online Questionnaire Surveys in 2007 and 2014

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Bibliographic Information

Other Title
  • 計量調査から見る「ネット右翼」のプロファイル : 2007年/2014年ウェブ調査の分析結果をもとに
  • ケイリョウ チョウサ カラ ミル ネット ウヨク ノ プロファイル 2007ネン 2014ネン ウェブチョウサ ノ ブンセキ ケッカ ヲ モト ニ

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Abstract

This article reports the results of web-based surveys conducted in 2007 and 2014, in order to investigate the actual conditions of Netto-uyoku, online activists of the Japanese alt-right. In this study Netto-uyoku is operationally defined as those who are: 1) xenophobic toward China and Korea, 2) have a nationalistic political attitude, and 3) post or exchange opinions about political issues via the Net. Respondents who meet this definition were 1.3 percent of total samples in 2007, and 1.8 percent in 2014. Statistically there is no significant difference between these ratios, suggesting that Netto-uyoku has not increased in a recent decade. In addition, taking account of sample selection bias, the actual size of Netto-uyoku is estimated at far less than 1 percent of the Japanese Internet users. Analyses of 2014 survey data showed that over three quarters of Netto-uyoku are males, but there are no significant features in their ages and educational backgrounds. They are heavy users of the internet, and prefer Twitter to other social media such as Facebook or LINE. They use BBS websites such as “2channel”, video sharing websites such as “Niconico”, and online game sites more frequently than other internet users. Netto-uyoku are more likely to experience online troubles or flaming with others, and it seems partly because of their high degree of online disinhibition and internet addiction.

Journal

  • 年報人間科学

    年報人間科学 38 211-224, 2017-03-31

    Sociology, Anthropology and Philosophy, Graduate School of Human Sciences, Osaka University

Details 詳細情報について

  • CRID
    1390290699784830592
  • NII Article ID
    120005998754
  • NII Book ID
    AN0020011X
  • DOI
    10.18910/60471
  • HANDLE
    11094/60471
  • ISSN
    02865149
  • Text Lang
    ja
  • Data Source
    • JaLC
    • IRDB
    • CiNii Articles

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