Modelado y difusión de temas noticiosos en medios sociales: características y factores de la emergencia de noticias en un canal informativo de Twitter

• Arcila Calderón, Carlos ^[1] ; Barbosa Caro, Eduar ^[2] ; Aguaded, Ignacio ^[3]
  1. [1] Universidad de Salamanca

     Universidad de Salamanca

     Salamanca, España

     
  2. [2] Universidad del Rosario

     Universidad del Rosario

     Colombia

     
  3. [3] Universidad de Huelva

     Universidad de Huelva

     Huelva, España

     

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• Localización: Comunicación y sociedad, ISSN 2448-9042, ISSN-e 0188-252X, Nº. 16, 2019
• Idioma: español
• DOI: 10.32870/cys.v2019i0.6437
• Títulos paralelos:
  • Modeling and diffusion of news topics in social media: Features and factors of the emergence of news in a Twitter informative channel
• Enlaces
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• Resumen
  • español

    Este estudio busca caracterizar el modelado y difusión de temas noticiosos en medios sociales y determinar los factores que influyan en su aparición. Con técnicas en torno a la filosofía del Big Data se analizó un año de tuits del medio colombiano El Tiempo, encontrando que la aparición de temas en el largo plazo se relaciona con atributos del mensaje. Se mencionan implicaciones teóricas y contribuciones para otros modelos a la luz del modelo de Difusión de Innovaciones.

  • English

    This study aims to characterize the modeling and diffusion of news topics in social media and determine the factors that influenced them. Big Data analysis methods such as topic modeling and sentiment analysis were used to analyze one year of tweets from Colombian newspaper El Tiempo. We found that the appearance of long-term topics was related to the message’s attributes. Theoretical implications and contributions in light of innovation are mentioned.

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