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Communicating Security Threat: Newspaper Coverage of North Korean and Iranian Nuclear Programs

Research Project

Project/Area Number 19H01450
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 06010:Politics-related
Research InstitutionWaseda University

Principal Investigator

Watanabe Kohei  早稲田大学, 高等研究所, その他(招聘研究員) (50832466)

Co-Investigator(Kenkyū-buntansha) 多湖 淳  早稲田大学, 政治経済学術院, 教授 (80457035)
Project Period (FY) 2019-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2021: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2020: ¥9,360,000 (Direct Cost: ¥7,200,000、Indirect Cost: ¥2,160,000)
Fiscal Year 2019: ¥7,280,000 (Direct Cost: ¥5,600,000、Indirect Cost: ¥1,680,000)
Keywords量的テキスト分析 / 統計分析 / 安全保障 / ニュース / text analysis / survey experiment / network analysis / nuclear threat / サーベイ実験 / 核開発 / online experiment / Israel / Japan / content analysis / conference / software development / foreign news / security threat / nuclear programs
Outline of Research at the Start

This research project aims to reveal ideological bias of conservative news media that would contribute to regional instability through a large-scale content analysis of newspaper articles and survey experiments in Japan and Israel. We will analyze Japanese and Hebrew newspaper articles on North Korea and Iran over years, and conduct survey experiments in both countries based on findings of the content analysis. We will also develop a new quantitative approach to Asian-language texts, and strengthen academic ties between Japan and Israel through this collaboration.

Outline of Final Research Achievements

In this research project, we organized an international conference to initiate the rapid development of quantitative text analysis in Japan. We enabled young scholars to conduct innovative research in many social science fields through our methodological research on quantitative text analysis of Asian languages. Through content analysis and survey experiment in Japan and Israel, we revealed that the conservative media tend to overemphasize security threat and that media reports about security threats alone can trigger the rally around the flag effect even without actual military actions.

Academic Significance and Societal Importance of the Research Achievements

本研究の貢献は、これまで困難だと考えられてきたアジア言語の文書の統計的な分析をノートパソコンだけで容易に行えるようにしたことである。また、本研究から生み出された手法は、社会科学のみならずデータ科学や産業界におけるデータ分析でも利用できるものである。研究成果と関連するソフトウェアはすべてオープンソースで公開し、広く利用を促している。

Report

(4 results)
  • 2022 Final Research Report ( PDF )
  • 2021 Annual Research Report
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • Research Products

    (11 results)

All 2022 2021 2020 2019 Other

All Int'l Joint Research (2 results) Journal Article (3 results) (of which Int'l Joint Research: 2 results,  Peer Reviewed: 3 results,  Open Access: 3 results) Presentation (3 results) (of which Int'l Joint Research: 3 results,  Invited: 1 results) Book (1 results) Remarks (1 results) Funded Workshop (1 results)

  • [Int'l Joint Research] Tel Aviv University(イスラエル)

    • Related Report
      2020 Annual Research Report
  • [Int'l Joint Research] Tel Aviv University(イスラエル)

    • Related Report
      2019 Annual Research Report
  • [Journal Article] Discursive diversion: Manipulation of nuclear threats by the conservative leaders in Japan and Israel2022

    • Author(s)
      Watanabe Kohei、Segev Elad、Tago Atsushi
    • Journal Title

      International Communication Gazette

      Volume: -

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Could Leaders Deflect from Political Scandals? Cross-National Experiments on Diversionary Action in Israel and Japan2021

    • Author(s)
      Segev Elad、Tago Atsushi、Watanabe Kohei
    • Journal Title

      International Interactions

      Volume: X Issue: 5 Pages: 1-14

    • DOI

      10.1080/03050629.2022.2044326

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Theory-Driven Analysis of Large Corpora: Semisupervised Topic Classification of the UN Speeches2020

    • Author(s)
      Watanabe Kohei, Zhou Yuan
    • Journal Title

      Social Science Computer Review

      Volume: NP Issue: 2 Pages: 346-366

    • DOI

      10.1177/0894439320907027

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Presentation] Application of distributional semantics in social sciences: Analysis of news coverage of the refugee crisis using word-embedding techniques2019

    • Author(s)
      Kohei Watanabe
    • Organizer
      Austrian Linguistics Conference
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Making a topic dictionary for semi-supervised classification of the UN speeches2019

    • Author(s)
      Kohei Watanabe
    • Organizer
      QTA-Dublin
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Textual Network Analysis: Detecting Prevailing Themes and Biases in International News and Social Media2019

    • Author(s)
      Elad Segev
    • Organizer
      POLTEXT 2019
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Book] Semantic Network Analysis in Social Sciences2021

    • Author(s)
      Segev Elad
    • Total Pages
      248
    • Publisher
      Routledge
    • Related Report
      2021 Annual Research Report
  • [Remarks] Quantitative analysis of textual data

    • URL

      https://quanteda.io/

    • Related Report
      2019 Annual Research Report
  • [Funded Workshop] POLTEXT 20192019

    • Related Report
      2019 Annual Research Report

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Published: 2019-04-18   Modified: 2024-01-30  

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