Integrated research model for web interfaces: toward a taxonomy of quantitative and qualitative analysis for digital native media
DOI:
https://doi.org/10.3145/epi.2022.nov.19Keywords:
Internet, Web, Journalism, Digital journalism, Content, Communication, Interfaces, Digital, Slow journalism, Benchmarking, Indicators, Models, Taxonomies, Quantitative analysis, Qualitative analysis, Digital native media, Cybermedia, Narrative, Quality, Usability, SearchAbstract
In a context marked by the emergence of new platforms and interfaces, digital native media face the challenge of organizing and presenting their content in an effective and eloquent way. This milestone requires ongoing work toward the identification and conceptualization of the dimensions that map the structural and formal requirements necessary for fluid communication with audiences and adequate visibility in the digital ecosystem. This study, which adopts a quantitative-qualitative methodological design, proposes, describes, and applies a taxonomy for the analysis of digital media web interfaces. Based on a review of the literature, two rounds of expert judgment, and a pilot test, the research identifies 14 thematic dimensions, 36 indicators, and 69 variables. The study focuses on the importance of renewing research about taxonomy related to structural dimensions that address narrative, quality, usability, information search, and content redissemination and socialization, among other aspects. The study of web interfaces applied to journalism demands long-term research work with a holistic approach that, at a conceptual and practical level, can offer proposals for analysis and diagnosis on the basis of an integrated method.Â
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