Effectiveness of Usability Performance Features for Web Credibility Evaluation

Kenta Yamada, Hayato Yamana

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Unreliable web pages, such as fake news, have become an unavoidable problem. To tackle this problem, recent researches have adopted both content and social features to predict the credibility of the web pages; however, the accuracy is almost saturated. In this paper, we propose the adoption of Google Lighthouse features to predict web page credibility. Our experimental results show that the proposed method achieves an increased accuracy of 7.9% in comparison with state-of-the-art methods.

本文言語English
ホスト出版物のタイトルProceedings - 2019 IEEE International Conference on Big Data, Big Data 2019
編集者Chaitanya Baru, Jun Huan, Latifur Khan, Xiaohua Tony Hu, Ronay Ak, Yuanyuan Tian, Roger Barga, Carlo Zaniolo, Kisung Lee, Yanfang Fanny Ye
出版社Institute of Electrical and Electronics Engineers Inc.
ページ6257-6259
ページ数3
ISBN(電子版)9781728108582
DOI
出版ステータスPublished - 2019 12
イベント2019 IEEE International Conference on Big Data, Big Data 2019 - Los Angeles, United States
継続期間: 2019 12 92019 12 12

出版物シリーズ

名前Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019

Conference

Conference2019 IEEE International Conference on Big Data, Big Data 2019
国/地域United States
CityLos Angeles
Period19/12/919/12/12

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 情報システム
  • 情報システムおよび情報管理

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