In Spain, 40% of children are overweight or obese. Television advertising is a widely acknowledged factor contributing to high-calorie food intake. This study longitudinally correlates some variables involved in childhood obesity prevention strategies in Spain. A mixed-methods approach was used. A quantitative analysis of audience data was conducted to determine the advertising campaigns most viewed by Spanish children from 2016 to 2018. The Nutri-score system was applied to determine the nutritional quality of the food advertised. A content analysis and a study of the discursive strategies used as an advertising ploy was undertaken. The results were examined in relation to the regulatory framework of the Spanish PAOS Code for the co-regulation of food advertising aimed at children. The study shows that Spanish advertising aimed at children mostly advertises very low nutritional value products. Moreover, these campaigns violate the PAOS Code in terms of the use of language in relation to the product, its benefits, and the appearance of popular characters. Our findings suggest a direct association between low nutritional value food ads and discursive strategies based on the intangible and extrinsic characteristics of these products. There remains the need for stricter legislation that takes into consideration the nutritional value of advertised foods and the language used in their hedonistic advertising.
Los niños españoles ven una media de 9000 campañas publicitarias en televisión al año. La mayoría de ellas corresponden a alimentos de bajo valor nutricional. Dados los índices de obesidad infantil, la estrecha relación entre la publicidad dirigida a ese colectivo y el consumo de este tipo de alimentos, España aprobó en 2005 el Código de Autorregulación de la Publicidad de Alimentos Dirigida a Menores (PAOS). Este artículo tiene como objetivo analizar las estrategias discursivas utilizadas en las campañas de alimentos de bajo valor nutricional, poniéndolas en relación con el contenido del Código PAOS. Utiliza para ello una metodología mixta que integra técnicas cuantitativas para el análisis de audiencias y cualitativas para el estudio del discurso publicitario. La investigación concluye que, a diferencia de otro tipo de alimentos, la publicidad de productos de bajo valor nutricional centra su estrategia discursiva en palabras y campos semánticos vinculados a la felicidad, la acción y la diversión, entre otros. Las conclusiones apuntan asimismo a la necesidad de revisar el contenido del Código PAOS, de una mayor implicación por parte de la industria alimentaria española, de agencias y de anunciantes, con el objetivo de que la autorregulación de los contenidos publicitarios resulte realmente efectiva. La contribución original del artículo radica en la aportación teórica y empírica que toma como punto de partida la obesidad infantil en España y la interrelaciona con las estrategias discursivas de la publicidad de productos de bajo valor nutricional dirigida a los menores y el marco normativo existente.
Linguistic resources available in the form of open data are an essential source of information for creating e-dictionaries, but access to these linguistic resources is still limited. This paper presents a method for maximising use of open access linguistic resources and integrating them into specialised e-dictionaries. The method combines automatic compilation of terminology data with the creation of specialised linguistic corpora to produce a Catalan version of the IATE (InterActive Terminology for Europe) database. The paper presents new methodological advances applied here to the production of terminological e-dictionaries, using open access linguistic resources. We observe that, as a result of this new methodology, the Catalan version of the IATE will be able to include specialised economics, law and health dictionaries. In conclusion, the new methodology presented here permits the creation of new models of specialised e-dictionaries, facilitates the compilation of terminology in any language and unifies the access format for terminology data.
The identification of reliable terms from domain-specific corpora using computational methods is a task that has to be validated manually by specialists, which is a highly time-consuming activity. To reduce this effort and improve term candidate selection, we implemented the Token Slot Recognition method, a filtering method based on terminological tokens which is used to rank extracted term candidates from domain-specific corpora. This paper presents the implementation of the term candidates filtering method we developed in linguistic and statistical approaches applied for automatic term extraction using several domain-specific corpora in different languages. We observed that the filtering method outperforms term candidate selection by ranking a higher number of terms at the top of the term candidate list than raw frequency, and for statistical term extraction the improvement is between 15% and 25% both in precision and recall. Our analyses further revealed a reduction in the number of term candidates to be validated manually by specialists. In conclusion, the number of term candidates extracted automatically from domain-specific corpora has been reduced significantly using the Token Slot Recognition filtering method, so term candidates can be easily and quickly validated by specialists.
In recent years, academic journals have evolved to become a vehicle for scientific communication that is acknowledged by the official organizations that certify their quality. This enables assessments to be performed, determining how a discipline has evolved through the analysis of bibliometric indicators and the keywords used to index the articles. In the field of library and information science, it is particularly interesting to study the articles published in the journals specializing in this area but few studies have performed an indepth analysis of the discipline. In order to gain a detailed view of the evolution of library and information science, we have carried out a bibliometric and thematic study of the journals Anales de Documentación (AD) and BiD textos universitaris en biblioteconomia i documentació (BiD) between 2000 and 2013. The analysis focuses on the number of articles and authors, the evolution of the sections and the contents. In addition, a thematic study determines the level of similarity between the two journals' contents, the subject areas they belong to and whether there is any subject continuity during the period analysed. The results confirm that in BID, practitionerfocused subject matter is double that of the academic content, unlike AD, which shows a preference for academic content. The thematic study confirms that there is little similarity between the content of the two publications; that the subjects where there is overlap are basically concerned with information units, information technologies, auxiliary sciences and techniques, and library science; and that there is little continuity in the subjects covered during the period analysed.
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