2016
DOI: 10.3145/epi.2016.jul.08
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Análisis computacional de las características ortotipográficas y paralingüísticas de los tweets periodísticos

Abstract: Escolar y Didác-ticas Especiales de la UNED. Doctor en ciencias de la educación con premio extraordinario. Ha publicado más de un centenar de trabajos científicos en las áreas del aprendizaje ubicuo y en el uso del lenguaje digital. Sus publicaciones más recientes abordan el tema del lenguaje digital en Whatsapp con el artículo: "Análisis lexicométrico de la especificidad de la escritura digital del adolescente en Whatsapp" y el libro Dispositivos digitales móviles en educación. El aprendizaje ubicuo, publicad… Show more

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Cited by 4 publications
(1 citation statement)
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“…However, we cannot neglect fundamental concepts that shape the social reality of microblogging such as how ephemeral its influence is (Back, Lury, and Zimmer, 2013;Elmer 2013;Vázquez-Cano, Fombona, and Bernal, 2016) and the difficulty of comprehension and interpretation for those individuals who are not part of the social network. The structural dynamic of Twitter enables researchers in the field of educational communication to obtain relevant data using big data analytics techniques relating to the activity of microblogging in synchronic and diachronic analyses of activity in the social network (Rogers, 2013, p. 363;Marres and Weltevrede 2013).…”
Section: Twitter Microblogging and Moocsmentioning
confidence: 99%
“…However, we cannot neglect fundamental concepts that shape the social reality of microblogging such as how ephemeral its influence is (Back, Lury, and Zimmer, 2013;Elmer 2013;Vázquez-Cano, Fombona, and Bernal, 2016) and the difficulty of comprehension and interpretation for those individuals who are not part of the social network. The structural dynamic of Twitter enables researchers in the field of educational communication to obtain relevant data using big data analytics techniques relating to the activity of microblogging in synchronic and diachronic analyses of activity in the social network (Rogers, 2013, p. 363;Marres and Weltevrede 2013).…”
Section: Twitter Microblogging and Moocsmentioning
confidence: 99%