Gutierrez-Renteria, Maria Elena
Preferred name
Gutierrez-Renteria, Maria Elena
Official Name
Gutiérrez Rentería, María Elena
Alternative Name
egutierr
Main Affiliation
ORCID
0000-0001-5431-8223
Scopus Author ID
56451136100
Researcher ID
S-4737-2018
18 results
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Item type:Publication, Perfil de un grupo de audiencia universitaria en México según su participación ciudadana, confianza en las instituciones e interacción cívica en los medios en 2017(2019); ; Martha-Guadalupe Pérez-Ayala Madero<jats:p>Esta investigación de enfoque cuantitativo muestra las singularidades de una audiencia universitaria en México en 2017, medida según su participación cívica, la valoración que da a las instituciones y la actuación interactiva que tiene con los medios respecto a temas sociales y políticos. La población encuestada estuvo formada por 1,195 jóvenes adultos de 23 años de edad promedio y que forma parte de la comunidad universitaria situada en Jalisco, Ciudad de México y Aguascalientes. Los resultados muestran que la participación offline de capital social fue más significativa que la online. Las instituciones que tuvieron índice aprobatorio fueron las religiosas, las universidades y los medios de comunicación. En este ámbito, existieron diferencias significativas al evaluarlas entre grupos de edad y según el sexo. Esta audiencia tuvo rasgos de ser pasiva y conservadora respecto a su consumo informativo y reflejó apatía para manifestar su opinión en los medios de comunicación del país.</jats:p>Scopus© Citations 2 60 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, MEDIA MANAGEMENT AND ECONOMICS RESEARCH IN LATIN AMERICA Challenges and Opportunities for Scholars in the Field(2019); Scopus© Citations 3 5 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Classification of Mexican audiences by their interest in digital news content and socioeconomic characteristics(2024); ; Alfonso Vara-miguel<jats:p>The news industry faces challenges due to the global macro and microeconomic environment. The current digital situation leads to the study of the characteristics of the audience interested in news content products. The central aim of this research is to classify the main attribute interest in digital news content in Mexico of the audience’s market by the attributes of age group, education level, and income level. This research is based on a survey of 2,005 digital news consumers in Mexico, directed in 2022 by the Reuters Institute for the Study of Journalism at the University of Oxford for the annual Digital News Report Study. The statistical method used is data mining with decision trees that classify the audience by the attribute of interest in the news as the dependent variable and attributes of age groups, education level, and income level as independent variables. These findings confirm the segmentation of digital news consumers’ audiences. The classification in which the attributes of age groups, level of education, and income level are considered simultaneously concerning audiences’ interests indicates that some of the predictions made show that some attributes may not be significant in some subsets, except for age group. The lowest average interest in the news is between 18 and 24 years, and the highest average interest in the news, which is nearly very interested, has audiences over 35 years.</jats:p>8 - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Scopus© Citations 1 12 1 - Some of the metrics are blocked by yourconsent settings
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Item type:Publication, Media Management and Economics Research in Latin America(2018); Scopus© Citations 3 41 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Classification of Mexican audiences by their interest in digital news content and socioeconomic characteristics(2024); ; Alfonso Vara-Miguel<jats:p>The news industry faces challenges due to the global macro and microeconomic environment. The current digital situation leads to the study of the characteristics of the audience interested in news content products. The central aim of this research is to classify the main attribute interest in digital news content in Mexico of the audience’s market by the attributes of age group, education level, and income level. This research is based on a survey of 2,005 digital news consumers in Mexico, directed in 2022 by the Reuters Institute for the Study of Journalism at the University of Oxford for the annual Digital News Report Study. The statistical method used is data mining with decision trees that classify the audience by the attribute of interest in the news as the dependent variable and attributes of age groups, education level, and income level as independent variables. These findings confirm the segmentation of digital news consumers’ audiences. The classification in which the attributes of age groups, level of education, and income level are considered simultaneously concerning audiences’ interests indicates that some of the predictions made show that some attributes may not be significant in some subsets, except for age group. The lowest average interest in the news is between 18 and 24 years, and the highest average interest in the news, which is nearly very interested, has audiences over 35 years.</jats:p>36 2