TY - JOUR
T1 - Modelado y difusión de temas noticiosos en medios sociales
T2 - características y factores de la emergencia de noticias en un canal informativo de Twitter
AU - Calderón, Carlos Arcila
AU - Caro, Eduar Barbosa
AU - Aguaded, Ignacio
N1 - Publisher Copyright:
© 2018 Universidad de Guadalajara. All rights reserved.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019
Y1 - 2019
N2 - This study aims to characterize the modeling and diffusion of news topics in social media and determine the factors that influenced them. With Big Data analysis methods, such as topic modeling and sentiment analysis, we analyzed 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 considering Diffusion of Innovations' model are mentioned.
AB - This study aims to characterize the modeling and diffusion of news topics in social media and determine the factors that influenced them. With Big Data analysis methods, such as topic modeling and sentiment analysis, we analyzed 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 considering Diffusion of Innovations' model are mentioned.
UR - http://www.scopus.com/inward/record.url?scp=85063519242&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063519242&partnerID=8YFLogxK
U2 - 10.32870/cys.v2019i0.6437
DO - 10.32870/cys.v2019i0.6437
M3 - Artículo
AN - SCOPUS:85063519242
SN - 0188-252X
VL - 2019
JO - Comunicacion y Sociedad (Mexico)
JF - Comunicacion y Sociedad (Mexico)
M1 - e6437
ER -