Sanchez-Acedo, AlbertoCarbonell-Alcocer, AlejandroGertrudix, ManuelRubio-Tamayo, Jose Luis2024-03-132024-03-132024-03-02Sanchez-Acedo, A., Carbonell-Alcocer, A., Gertrudix, M., & Rubio-Tamayo, J. L. (2024). Revealing trends in academic publishing on immersive journalism through a dataset analysis of metaverse and extended technologies from 2017 to 2022. Data in Brief, 110263.2352-3409https://hdl.handle.net/10115/30913This article presents the data obtained from a Systematic Literature Review (SLR) on the use of metaverse and extended technologies for immersive journalism [1]. Boolean operators, both in English and Spanish, were used to retrieve scientific literature using Publish or Perish 8 software on Scopus, Web of Science and Google Scholar between 2017 and 2022. After finding all the scientific literature, a methodological process was carried out using selection criteria and following the PRISMA model to obtain a total sample of 61 scientific articles. The DESLOCIS framework was used for the evaluation and quantitative and qualitative analysis of the retrieved data. The first dataset [2] contains the metadata of the retrieved publications according to the phases of the PRISMA statement. The second dataset [3] contains the characteristics of these publications according to the DESLOCIS framework. The data offer the possibility to develop new longitudinal studies and meta-analyzes in the field of immersive journalism.engAtribución 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/Data analysisSystematic literature review (SLR)DESLOCIS frameworkPRISMA statementImmersive technologiesMetaverseinfo:eu-repo/semantics/article10.1016/j.dib.2024.110263info:eu-repo/semantics/openAccess