This paper presents a new method for hijacked journals detection that uses the web domain data and list of known hijacked journals to identify new ones. By implementing this method, nine new hijacked journals were identified. This method can be used for detecting new hijacked journals and preventing additional victims – authors who submit papers to the hijacked instead of the legitimate journal.
https://doi.org/10.1080/00987913.2024.2411664
| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |
