<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0188-252X</journal-id>
<journal-title><![CDATA[Comunicación y sociedad]]></journal-title>
<abbrev-journal-title><![CDATA[Comun. soc]]></abbrev-journal-title>
<issn>0188-252X</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Guadalajara, Departamento de Estudios de la Comunicación Social]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0188-252X2019000100407</article-id>
<article-id pub-id-type="doi">10.32870/cys.v2019i0.6437</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Modelado y difusión de temas noticiosos en medios sociales: características y factores de la emergencia de noticias en un canal informativo de Twitter]]></article-title>
<article-title xml:lang="en"><![CDATA[Modeling and Diffusion of News Topics in Social Media: Features and Factors of the Emergence of News in a Twitter Informative Channel]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arcila Calderón]]></surname>
<given-names><![CDATA[Carlos]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Barbosa Caro]]></surname>
<given-names><![CDATA[Eduar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Aguaded]]></surname>
<given-names><![CDATA[Ignacio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Salamanca  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Spain</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad del Rosario  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Huelva  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Spain</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2019</year>
</pub-date>
<volume>16</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0188-252X2019000100407&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0188-252X2019000100407&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0188-252X2019000100407&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen: 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.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: 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&#8217;s attributes. Theoretical implications and contributions in light of innovation are mentioned.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Twitter]]></kwd>
<kwd lng="es"><![CDATA[difusión de noticias]]></kwd>
<kwd lng="es"><![CDATA[medios sociales]]></kwd>
<kwd lng="es"><![CDATA[modelamiento de temas]]></kwd>
<kwd lng="es"><![CDATA[big data]]></kwd>
<kwd lng="en"><![CDATA[Twitter]]></kwd>
<kwd lng="en"><![CDATA[dissemination of news]]></kwd>
<kwd lng="en"><![CDATA[social media]]></kwd>
<kwd lng="en"><![CDATA[topic modeling]]></kwd>
<kwd lng="en"><![CDATA[Big Data]]></kwd>
</kwd-group>
</article-meta>
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