Integrated research model for web interfaces: toward a taxonomy of quantitative and qualitative analysis for digital native media

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.

Information Quality in Latin American Digital Native Media: Analysis Based on Structured Dimensions and Indicators

The current communicative ecosystem has profoundly transformed journalistic work and the media, generating with great eagerness the emergence of digital native media that do not follow the logic of their conventional peers. Although the advent of these media is not entirely negative, as they create multiple voices that contribute to pluralism, their quality has undoubtedly been questioned on several academic fronts. This work analyzes the most important Latin American digital native media by number of accesses (traffic), using a taxonomy of evaluation of dimensions of the informative quality, in which aspects such as informative sources, uses of international news agencies, correction of contents and factuality levels, ideological plurality in their opinion contents, among others, are taken into consideration. Of the emerging results, the ‘use of statistical indicators’ was the least rated (32.5%), mainly due to a lack of data journalism in the media studied. It is also worth noting that the indicator ‘comments and monitoring’ obtained the second-lowest rating, indicating an absence of conversation between the media and its audience through the comments section of each content.

Dimensions and Indicators of the Information Quality in Digital Media

The current information ecosystem, crossed by a logic mediamorphosis, is increasingly generating the emergence of digital media and information portals that do not follow the formal publishing procedures of conventional media. The crisis of traditional media has also changed the way we become informed. However, information quality remains a factor for discussion in the absence of unified criteria for analysis. In this regard, the question arises: how do we evaluate and assess the quality of information in digital media? This study aims to seek agreement between academics and media professionals on the areas and dimensions of information quality of digital media according to objective or quantifiable values. For this, a taxonomy of the dimensions related to information quality was created, based on the review of scientific literature and further evaluated and validated by 40 experts, including scholars and media professionals alike, who focused on verifying the classification´s reliability. As a result, three macro areas of information quality, containing 21 areas, inherently comprised of a total of 75 dimensions, were validated. Lastly, this study proposes a structured model that will allow for the analysis of information quality of digital media, both in its pre-information phase catalogued in the media-business and on the media-workers’ socio-occupational characteristics, as well as its final product and informational content.

Toward a taxonomy of newspaper information quality: An experimental model and test applied to Venezuela dimensions found in information quality

The quality of information from communication media is a topic that has been dealt with by various theorists through the analysis of the final products of information. This research work offers an analysis model of the quality of information of printed news media by the use of three indexes of categories and structured dimensions that will allow for the assessment and evaluation of the quality of information from the media, and the identification of the incidence of political-economic conditions of the journalistic environment’s macro-environment. For this, an experimental test of two Venezuelan media outlets was performed. Their use allowed us to conclude that political polarization and discourse of social confrontation, as well as economic factors such as inflation and pay scales had a proportionally direct effect on the quality of information products.