書誌事項
- タイトル別名
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- An Analysis System of Reporting Tendencies in News Websites Based on Readers' Varied Emotions
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説明
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).
収録刊行物
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- 知能と情報
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知能と情報 25 (1), 568-582, 2013
日本知能情報ファジィ学会
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詳細情報 詳細情報について
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- CRID
- 1390001205187485568
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- NII論文ID
- 130003368209
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- ISSN
- 18817203
- 13477986
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- 本文言語コード
- ja
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- 資料種別
- journal article
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可
