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

Carlos Arcila Calderón; Eduar Barbosa Caro; Ignacio Aguaded

doi:10.32870/cys.v2019i0.6437

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

Translated title of the contribution: Modeling and diffusion of news topics in social media: Features and factors of the emergence of news in a twitter informative channel

Carlos Arcila Calderón
, Eduar Barbosa Caro
, Ignacio Aguaded

Research output: Contribution to Journal › Research Article › peer-review

1 Scopus citations

Abstract

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.

Translated title of the contribution	Modeling and diffusion of news topics in social media: Features and factors of the emergence of news in a twitter informative channel
Original language	Spanish
Article number	e6437
Journal	Comunicacion y Sociedad (Mexico)
Volume	2019
DOIs	https://doi.org/10.32870/cys.v2019i0.6437
State	Published - 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

All Science Journal Classification (ASJC) codes

Communication

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10.32870/cys.v2019i0.6437

Cite this

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abstract = "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.",

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publisher = "Universidad de Guadalajara",

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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

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 - https://www.scopus.com/pages/publications/85063519242

UR - https://www.scopus.com/pages/publications/85063519242#tab=citedBy

U2 - 10.32870/cys.v2019i0.6437

DO - 10.32870/cys.v2019i0.6437

M3 - Artículo de Investigación

AN - SCOPUS:85063519242

SN - 0188-252X

VL - 2019

JO - Comunicacion y Sociedad (Mexico)

JF - Comunicacion y Sociedad (Mexico)

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

Abstract

UN SDGs

All Science Journal Classification (ASJC) codes

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