Resumen: La creciente adaptación de los medios de comunicación al entorno digital hace conveniente la utilización de metodologías de análisis que permitan determinar la calidad de sus sitios web. En este artículo, a partir del estudio de las características de las webs de algunos de los medios de comunicación más importantes a nivel internacional, se propone una metodología para la evaluación específi ca de este tipo de sitios web. El modelo propuesto se compone de treinta y seis indicadores, organizados en torno a ocho parámetros que permiten valorar, especialmente, la adaptación del medio de comunicación a la interacción de la Web 2.0. Otros aspectos a los que también se presta atención, pero en menor medida, son la arquitectura de la información, la usabilidad, la accesibilidad o las herramientas de interacción y comunicación que éste pone a disposición de sus usuarios.
IntroducciónEl objetivo de este trabajo es proponer un modelo de análisis de los cibermedios, prestando especial atención a los diarios digitales. Es evidente que se pueden establecer conjuntos exhaustivos de indicadores sin ningún límite previo; sin embargo, es útil disponer de un modelo de evaluación relativamente sencillo que permita análisis comparativos con un amplio número de medios. Para refinar y testar esta propuesta, ha sido aplicada a ocho diarios ya que uno de los motivos de este trabajo, primero de una serie en el seno de un proyecto de investigación sobre cibermedios, es la presentación del modelo en sí mismo y probar y/o demostrar su posible viabilidad en otros contextos.Con tal motivo, desarrollando y ampliando una lí-nea anterior de trabajo de algunos de los autores, se
A range of different methods and tools have been proposed by both academics and professionals in recent years for evaluating the quality of websites. Some are of general application and can be used to assess any type of website, while others have been adapted to the specialized characteristics of the websites employed in a given sector. This paper undertakes an analysis of existing scientific production in this field, with the aim of identifying its most relevant publications, its principal authors and the specific sectors served by the sites under evaluation. By triangulating review methods, 716 texts, published between 2000 and 2018, were identified in Scopus, Web of Science and other databases and examined. In addition to basic bibliographic information, the number of citations received by each text was recorded using Google Scholar. The area of knowledge in which each author works was also categorized based on his or her specific affiliations. The results point to a growing interest in website quality in a scientific community that has a presence in more than 70 countries. Its authors are drawn from various disciplines, although the highest number of publications is recorded in computer science, business and medical informatics. The most frequently cited texts are in fact seminal books in the associated disciplines of usability, information architecture and user experience. However, as of 2007, the number of texts describing evaluation tools for the websites of specific sectors – most notably, education (33%), health (27%) and commerce (21%) – increased their share. In conclusion, it is evident that website quality is a field of study undergoing constant growth and increasing specialization and one that offers ample opportunities for research.
Purpose Universities play an important role in the promotion and implementation of the 2030 Agenda for Sustainable Development. This study aims to examine the visibility of information about the Sustainable Development Goals (SDGs) on the websites of Spanish and major international universities, by means of a quantitative and qualitative analysis with an online visibility management platform that makes use of big data technology. Design/methodology/approach The Web visibility of the universities studied in relation to the terms “SDG”, “Sustainable Development Goals” and “2030 Agenda” was determined using the SEMrush tool. Information was obtained on the number of web pages accessed and the queries formulated (query expansion). The content indexed by Google for these universities was compiled, and finally, the search engine optimization (SEO) factors applicable to the websites with the highest Web visibility were identified. Findings The universities analysed are content creators but do not have very high Web visibility in Web searches for information on the SDGs. Of the 98 universities analysed, only four feature prominently in search results. Originality/value Although research exists on the application of SEO to different areas, there have not, to date, been any studies examining the Web visibility of universities in relation to Web searches for information on the 2030 Agenda. The main contributions of this study are the global perspective it provides on the Web visibility of content produced by universities about the SDGs and the recommendations it offers for improving that visibility.
In this paper we present the theoretical and methodological foundations for the development of a multi-agentN owadays, one of the main challenges faced by information systems at libraries or on the Web is to efficiently manage the large number of documents they hold. Information systems make it easier to give users access to relevant resources that satisfy their information needs, but a problem emerges when the user has a high degree of specialization and requires very specific resources, as in the case of researchers.1 In "traditional" physical libraries, several procedures have been proposed to try to mitigate this issue, including the selective dissemination of information (SDI) service model that make it possible to offer users potentially interesting documents by accessing users' personal profiles kept by the library.Nevertheless, the progressive incorporation of new information and communication technologies (ICTs) to information services, the widespread use of the Internet, and the diversification of resources that can be accessed through the Web has led libraries through a process of reinvention and transformation to become "digital" libraries.2 This reengineering process requires a deep revision of work techniques and methods so librarians can adapt to the new work environment and improve the services provided.In this paper we present a recommendation and SDI model, implemented as a service of a specialized digital library (in this case, specialized in library and information science), that can increase the accuracy of accessing information and the satisfaction of users' information needs on the Web. This model is built on a multi-agent framework, similar to the one proposed by Herrera-Viedma, Peis, and Morales-del-Castillo, 3 that applies Semantic Web technologies within the specific domain of specialized digital libraries in order to achieve more efficient information management (by semantically enriching different elements of the system) and improved agent-agent and user-agent communication processes. Furthermore, the model uses fuzzy linguistic modelling techniques to facilitate the user-system interaction and to allow a higher grade of automation in certain procedures. To increase improved automation, some natural language processing (NLP) techniques are used to create a system thesaurus and other auxiliary tools for the definition of formal representations of information resources.In the next section, "Instrumental basis," we briefly analyze SDI services and several techniques involved in the Semantic Web project, and we describe the preliminary methodological and instrumental bases that we used for developing the model, such as fuzzy linguistic modelling techniques and tools for NLP. In "Semantic SDI service model for digital libraries," the bulk of this work, the application model that we propose is presented. Finally, to sum up, some conclusive data are highlighted.n Instrumental basis Filtering techniques for SDI servicesFiltering and recommendation services are based on the application of dif...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.