Detecting Hijacked Journals by Using Classification Algorithms.
Invalid journals are recent challenges in the academic world and many researchers are unacquainted with the phenomenon. The number of victims appears to be accelerating. Researchers might be suspicious of predatory journals because they have unfamiliar names, but hijacked journals are imitations of...
| Published in: | Science & Engineering Ethics Vol. 24; no. 2; pp. 655 - 669 |
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| Main Authors: | , , , |
| Format: | Article |
| Published: |
Springer Nature
Apr2018
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=128766130&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 128766130 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Apr2018 vid: 24 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 128766130 10.1007/s11948-017-9914-2 ppf: 655 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.4MB tig: atl: Detecting Hijacked Journals by Using Classification Algorithms. aug: au: Andoohgin Shahri, Mona Jazi, Mohammad Davarpanah Borchardt, Glenn Dadkhah, Mehdi affil: Department of Computer and Information Technology, Foolad Institute of Technology, 8491663763, Foolad shahr, Isfahan, Iran Progressive Science Institute, Box 5335, 94705, Berkeley, CA, USA Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran su: Classification algorithms Periodical publishing Internet fraud Prevention of spam email Professional ethics sug: subj: Classification algorithms Periodical publishing Internet fraud Prevention of spam email Professional ethics keyword: Academic ethics Editorial process Hijacked journals Spam emails ab: Invalid journals are recent challenges in the academic world and many researchers are unacquainted with the phenomenon. The number of victims appears to be accelerating. Researchers might be suspicious of predatory journals because they have unfamiliar names, but hijacked journals are imitations of well-known, reputable journals whose websites have been hijacked. Hijacked journals issue calls for papers via generally laudatory emails that delude researchers into paying exorbitant page charges for publication in a nonexistent journal. This paper presents a method for detecting hijacked journals by using a classification algorithm. The number of published articles exposing hijacked journals is limited and most of them use simple techniques that are limited to specific journals. Hence we needed to amass Internet addresses and pertinent data for analyzing this type of attack. We inspected the websites of 104 scientific journals by using a classification algorithm that used criteria common to reputable journals. We then prepared a decision tree that we used to test five journals we knew were authentic and five we knew were hijacked. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2018. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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