Aplicaciones de la estadística al framing y la minería de texto en estudios de comunicación

Main Authors: Arce García, Sergio, Menéndez Menéndez, María Isabel
Format: Journal PeerReviewed Book
Bahasa: es
Terbitan: Instituto de Investigaciones Bibliotecológicas. Facultad de Filosofía y Letras. Universidad de Buenos Aires , 2018
Subjects:
Online Access: http://eprints.rclis.org/40255/1/ICS39Arce.pdf
http://doi.org/10.34096/ics.i39.4260
http://eprints.rclis.org/40255/
Daftar Isi:
  • 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.