Resumen

ARCILA CALDERON, Carlos; BARBOSA CARO, Eduar  y  AGUADED, Ignacio. Modeling and Diffusion of News Topics in Social Media: Features and Factors of the Emergence of News in a Twitter Informative Channel. Comun. soc [online]. 2019, vol.16, e6437.  Epub 30-Nov-2019. ISSN 0188-252X.  https://doi.org/10.32870/cys.v2019i0.6437.

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.

Palabras llave : Twitter; dissemination of news; social media; topic modeling; Big Data.

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