Application of statistics to framing and text mining in communication studies
Techniques of discourse analysis in the media have undergone a great evolution thanks to the ‘framing’ theory, but over time it has been perceived that the researchers’ studies could include high levels of subjectivity. To solve this problem, more objective methodologies have been developed, adaptin...
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| Formato: | Artículo publishedVersion |
| Lenguaje: | Español |
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Universidad de Buenos Aires, Facultad de Filosofía y Letras
2018
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| Acceso en línea: | https://revistascientificas.filo.uba.ar/index.php/ICS/article/view/4260 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=biblioinfo&d=4260_oai |
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I28-R145-4260_oai2025-11-17 Arce García, Sergio Menéndez Menéndez, María Isabel 2018-10-30 Techniques of discourse analysis in the media have undergone a great evolution thanks to the ‘framing’ theory, but over time it has been perceived that the researchers’ studies could include high levels of subjectivity. To solve this problem, more objective methodologies have been developed, adapting statistical techniques to the examination of the main frames; cluster analysis being one of the most significant elements within these processes. More recent methods, such as text mining, propose the analysis to be entirely done through computer algorithms with morphological knowledge of different languages. This article approaches the state of the art of these methodologies, their most outstanding tools and the computer softwares that help in the statistical analysis of framing, with the aim of systematizing the options that are currently available for communication research. Las técnicas de análisis del discurso de los medios de comunicación han experimentado una gran evolución gracias a la teoría del framing, pero con el tiempo se ha percibido que el estudio realizado por los investigadores podría presentar una elevada subjetividad. Para solventar este problema, se han desarrollado metodologías de trabajo más objetivas, adaptando técnicas estadísticas para el examen de los marcos o encuadres principales, siendo el análisis de cluster uno de los elementos más significativos. Otras metodologías posteriores, como la minería de texto, llegan a plantear un análisis enteramente realizado a través de algoritmos informáticos, con conocimientos morfológicos de los distintos idiomas. En el presente texto se expone el estado de la cuestión de estas metodologías, sus herramientas más destacadas y los programas informáticos que ayudan en el análisis estadístico del framing con el objetivo de sistematizar las opciones actualmente disponibles para las investigaciones en comunicación. application/pdf text/html https://revistascientificas.filo.uba.ar/index.php/ICS/article/view/4260 10.34096/ics.i39.4260 spa Universidad de Buenos Aires, Facultad de Filosofía y Letras https://revistascientificas.filo.uba.ar/index.php/ICS/article/view/4260/4784 https://revistascientificas.filo.uba.ar/index.php/ICS/article/view/4260/4806 Información, cultura y sociedad; No. 39 (2018): Diciembre; 61-70 Información, cultura y sociedad; Núm. 39 (2018): Diciembre; 61-70 1851-1740 1514-8327 Minería de texto Framing Estadística Comunicación Programa informático Text mining Framing Statistics Communication Software Application of statistics to framing and text mining in communication studies Aplicaciones de la estadística al framing y la minería de texto en estudios de comunicación info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=biblioinfo&d=4260_oai |
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Universidad de Buenos Aires |
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I-28 |
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R-145 |
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Repositorio Digital de la Universidad de Buenos Aires (UBA) |
| language |
Español |
| orig_language_str_mv |
spa |
| topic |
Minería de texto Framing Estadística Comunicación Programa informático Text mining Framing Statistics Communication Software |
| spellingShingle |
Minería de texto Framing Estadística Comunicación Programa informático Text mining Framing Statistics Communication Software Arce García, Sergio Menéndez Menéndez, María Isabel Application of statistics to framing and text mining in communication studies |
| topic_facet |
Minería de texto Framing Estadística Comunicación Programa informático Text mining Framing Statistics Communication Software |
| description |
Techniques of discourse analysis in the media have undergone a great evolution thanks to the ‘framing’ theory, but over time it has been perceived that the researchers’ studies could include high levels of subjectivity. To solve this problem, more objective methodologies have been developed, adapting statistical techniques to the examination of the main frames; cluster analysis being one of the most significant elements within these processes. More recent methods, such as text mining, propose the analysis to be entirely done through computer algorithms with morphological knowledge of different languages. This article approaches the state of the art of these methodologies, their most outstanding tools and the computer softwares that help in the statistical analysis of framing, with the aim of systematizing the options that are currently available for communication research. |
| format |
Artículo publishedVersion |
| author |
Arce García, Sergio Menéndez Menéndez, María Isabel |
| author_facet |
Arce García, Sergio Menéndez Menéndez, María Isabel |
| author_sort |
Arce García, Sergio |
| title |
Application of statistics to framing and text mining in communication studies |
| title_short |
Application of statistics to framing and text mining in communication studies |
| title_full |
Application of statistics to framing and text mining in communication studies |
| title_fullStr |
Application of statistics to framing and text mining in communication studies |
| title_full_unstemmed |
Application of statistics to framing and text mining in communication studies |
| title_sort |
application of statistics to framing and text mining in communication studies |
| publisher |
Universidad de Buenos Aires, Facultad de Filosofía y Letras |
| publishDate |
2018 |
| url |
https://revistascientificas.filo.uba.ar/index.php/ICS/article/view/4260 https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=biblioinfo&d=4260_oai |
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