First-Impression-Based Unreliable Web Pages Detection – Does First Impression Work?

Kenta Yamada; Hayato Yamana

doi:10.1007/978-3-030-75078-7_63

First-Impression-Based Unreliable Web Pages Detection – Does First Impression Work?

Kenta Yamada^*, Hayato Yamana

^*Corresponding author for this work

School of Fundamental Science and Engineering

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

Abstract

Considering the continuous increase in the number of web pages worldwide, detecting unreliable pages, such as those containing fake news, is indispensable. Natural language processing and social-information-based methods have been proposed for web page credibility evaluation. However, the applicability of the former to web pages is limited because a model is required for each language, while the latter is poorly adapted to changes, owing to its dependence on external services that can be discontinued. To solve these problems, herein we propose a first-impression-based web credibility evaluation method. Our experimental evaluation of a fake news corpus gave an accuracy of 0.898, which is superior to those of existing methods.

Original language	English
Title of host publication	Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications AINA 2021
Editors	Leonard Barolli, Isaac Woungang, Tomoya Enokido
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	635-641
Number of pages	7
ISBN (Print)	9783030750770
DOIs	https://doi.org/10.1007/978-3-030-75078-7_63
Publication status	Published - 2021
Event	35th International Conference on Advanced Information Networking and Applications, AINA 2021 - Toronto [state] ON, Canada Duration: 2021 May 12 → 2021 May 14

Publication series

Name	Lecture Notes in Networks and Systems
Volume	227
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	35th International Conference on Advanced Information Networking and Applications, AINA 2021
Country/Territory	Canada
City	Toronto [state] ON
Period	21/5/12 → 21/5/14

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-3-030-75078-7_63

Cite this

Yamada, K., & Yamana, H. (2021). First-Impression-Based Unreliable Web Pages Detection – Does First Impression Work? In L. Barolli, I. Woungang, & T. Enokido (Eds.), Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications AINA 2021 (pp. 635-641). (Lecture Notes in Networks and Systems; Vol. 227). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-75078-7_63

First-Impression-Based Unreliable Web Pages Detection – Does First Impression Work? / Yamada, Kenta; Yamana, Hayato.

Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications AINA 2021. ed. / Leonard Barolli; Isaac Woungang; Tomoya Enokido. Springer Science and Business Media Deutschland GmbH, 2021. p. 635-641 (Lecture Notes in Networks and Systems; Vol. 227).

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

Yamada, K & Yamana, H 2021, First-Impression-Based Unreliable Web Pages Detection – Does First Impression Work? in L Barolli, I Woungang & T Enokido (eds), Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications AINA 2021. Lecture Notes in Networks and Systems, vol. 227, Springer Science and Business Media Deutschland GmbH, pp. 635-641, 35th International Conference on Advanced Information Networking and Applications, AINA 2021, Toronto [state] ON, Canada, 21/5/12. https://doi.org/10.1007/978-3-030-75078-7_63

Yamada K, Yamana H. First-Impression-Based Unreliable Web Pages Detection – Does First Impression Work? In Barolli L, Woungang I, Enokido T, editors, Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications AINA 2021. Springer Science and Business Media Deutschland GmbH. 2021. p. 635-641. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-75078-7_63

Yamada, Kenta ; Yamana, Hayato. / First-Impression-Based Unreliable Web Pages Detection – Does First Impression Work?. Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications AINA 2021. editor / Leonard Barolli ; Isaac Woungang ; Tomoya Enokido. Springer Science and Business Media Deutschland GmbH, 2021. pp. 635-641 (Lecture Notes in Networks and Systems).

@inproceedings{053a1f0925d94a0b91dba31d2f0895c7,

title = "First-Impression-Based Unreliable Web Pages Detection – Does First Impression Work?",

abstract = "Considering the continuous increase in the number of web pages worldwide, detecting unreliable pages, such as those containing fake news, is indispensable. Natural language processing and social-information-based methods have been proposed for web page credibility evaluation. However, the applicability of the former to web pages is limited because a model is required for each language, while the latter is poorly adapted to changes, owing to its dependence on external services that can be discontinued. To solve these problems, herein we propose a first-impression-based web credibility evaluation method. Our experimental evaluation of a fake news corpus gave an accuracy of 0.898, which is superior to those of existing methods.",

author = "Kenta Yamada and Hayato Yamana",

note = "Funding Information: This work was supported by JSPS KAKENHI (Grant Number 17KT0085). Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 35th International Conference on Advanced Information Networking and Applications, AINA 2021 ; Conference date: 12-05-2021 Through 14-05-2021",

year = "2021",

doi = "10.1007/978-3-030-75078-7_63",

language = "English",

isbn = "9783030750770",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "635--641",

editor = "Leonard Barolli and Isaac Woungang and Tomoya Enokido",

booktitle = "Advanced Information Networking and Applications - Proceedings of the 35th International Conference on Advanced Information Networking and Applications AINA 2021",