An Analysis System of Reporting Tendencies in News Websites Based on Readers' Varied Emotions

DOI 1 Citations 8 References

Bibliographic Information

Other Title
  • 多様な印象に基づくニュースサイト報道傾向分析システム

Abstract

News websites are becoming an important information source from which readers can obtain information about daily events as well as experience various impressions such as happiness, sadness, and anger, depending on how the news articles are written. For a contentious news topic, in particular, diverse news websites may have different reporting tendencies that may also vary over time, inducing different emotions in readers. We make use of “emotions” as the evaluation index of the way in which news articles are written and propose an analysis method that can visually compare reporting tendencies in news websites. We first design multidimensional emotions that are suitable for news articles and construct an emotion dictionary. We then calculate emotion values for news articles and news websites and present the differences in websites' reporting tendencies and variations over time. In this study, we propose a method for analyzing news websites' reporting tendencies based on the various emotions they trigger in readers and verify the effectiveness by implementing a prototype for twenty-five news websites (15 in Japan and 10 overseas).

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Details 詳細情報について

  • CRID
    1390001205187485568
  • NII Article ID
    130003368209
  • DOI
    10.3156/jsoft.25.568
  • ISSN
    18817203
    13477986
  • Text Lang
    ja
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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