External Content-dependent Features for Web Credibility Evaluation

Kazuyoshi Ootani; Hayato Yamana

doi:10.1109/BigData.2018.8622398

External Content-dependent Features for Web Credibility Evaluation

Kazuyoshi Ootani, Hayato Yamana

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

Unreliable web pages such as fake news has become a global problem in big data era. The motivation to publish fake news is often for profit; for example, earning advertisement income by putting ads on their web pages. In this paper, we focus on different usage of HTML source tags between reliable and unreliable web pages, then propose new features for predicting their credibility. The experimental result shows that our proposed features increase accuracy when used together with previously proposed Contents features.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018
Editors	Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5414-5416
Number of pages	3
ISBN (Electronic)	9781538650356
DOIs	https://doi.org/10.1109/BigData.2018.8622398
Publication status	Published - 2018 Jul 2
Event	2018 IEEE International Conference on Big Data, Big Data 2018 - Seattle, United States Duration: 2018 Dec 10 → 2018 Dec 13

Publication series

Name	Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

Conference

Conference	2018 IEEE International Conference on Big Data, Big Data 2018
Country/Territory	United States
City	Seattle
Period	18/12/10 → 18/12/13

Keywords

fake sites;
unreliable web pages
web credibility

ASJC Scopus subject areas

Computer Science Applications
Information Systems

Access to Document

10.1109/BigData.2018.8622398

Cite this

Ootani, K., & Yamana, H. (2018). External Content-dependent Features for Web Credibility Evaluation. In N. Abe, H. Liu, C. Pu, X. Hu, N. Ahmed, M. Qiao, Y. Song, D. Kossmann, B. Liu, K. Lee, J. Tang, J. He, & J. Saltz (Eds.), Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 (pp. 5414-5416). Article 8622398 (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2018.8622398

External Content-dependent Features for Web Credibility Evaluation. / Ootani, Kazuyoshi; Yamana, Hayato.
Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. ed. / Naoki Abe; Huan Liu; Calton Pu; Xiaohua Hu; Nesreen Ahmed; Mu Qiao; Yang Song; Donald Kossmann; Bing Liu; Kisung Lee; Jiliang Tang; Jingrui He; Jeffrey Saltz. Institute of Electrical and Electronics Engineers Inc., 2018. p. 5414-5416 8622398 (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ootani, K & Yamana, H 2018, External Content-dependent Features for Web Credibility Evaluation. in N Abe, H Liu, C Pu, X Hu, N Ahmed, M Qiao, Y Song, D Kossmann, B Liu, K Lee, J Tang, J He & J Saltz (eds), Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018., 8622398, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, Institute of Electrical and Electronics Engineers Inc., pp. 5414-5416, 2018 IEEE International Conference on Big Data, Big Data 2018, Seattle, United States, 18/12/10. https://doi.org/10.1109/BigData.2018.8622398

Ootani K, Yamana H. External Content-dependent Features for Web Credibility Evaluation. In Abe N, Liu H, Pu C, Hu X, Ahmed N, Qiao M, Song Y, Kossmann D, Liu B, Lee K, Tang J, He J, Saltz J, editors, Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 5414-5416. 8622398. (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018). doi: 10.1109/BigData.2018.8622398

Ootani, Kazuyoshi ; Yamana, Hayato. / External Content-dependent Features for Web Credibility Evaluation. Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018. editor / Naoki Abe ; Huan Liu ; Calton Pu ; Xiaohua Hu ; Nesreen Ahmed ; Mu Qiao ; Yang Song ; Donald Kossmann ; Bing Liu ; Kisung Lee ; Jiliang Tang ; Jingrui He ; Jeffrey Saltz. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 5414-5416 (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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abstract = "Unreliable web pages such as fake news has become a global problem in big data era. The motivation to publish fake news is often for profit; for example, earning advertisement income by putting ads on their web pages. In this paper, we focus on different usage of HTML source tags between reliable and unreliable web pages, then propose new features for predicting their credibility. The experimental result shows that our proposed features increase accuracy when used together with previously proposed Contents features.",

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author = "Kazuyoshi Ootani and Hayato Yamana",

note = "Funding Information: ACKNOWLEDGMENT This work was supported by JSPS KAKENHI Grant Numbers 17KT0085. I would like to thank Ms. Yoshiko Yasumura for giving many advices. Without her guidance, this paper would not have been possible. Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Big Data, Big Data 2018 ; Conference date: 10-12-2018 Through 13-12-2018",

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A2 - Pu, Calton

A2 - Hu, Xiaohua

A2 - Ahmed, Nesreen

A2 - Qiao, Mu

A2 - Song, Yang

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A2 - Lee, Kisung

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External Content-dependent Features for Web Credibility Evaluation

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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