RESUMO
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.
Assuntos
Algoritmos , Enganação , Fraude/prevenção & controle , Internet , Publicações Periódicas como Assunto , Editoração , Registros , Árvores de Decisões , Correio Eletrônico , Humanos , Roubo de Identidade , Organizações , Publicações Periódicas como Assunto/classificação , Publicações Periódicas como Assunto/normas , Pesquisa , Pesquisadores , RouboRESUMO
The academic world today includes hijacked journals and predatory publishers that operate based on a 'pay and publish' model and function for financial reasons only. Here we present lesser known aspects and practices of these journals to researchers, showing the core of the problem.
