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https://hdl.handle.net/11000/26748
Los lenguajes de programación y las herramientas digitales en el periodismo de datos en España
Título : Los lenguajes de programación y las herramientas digitales en el periodismo de datos en España |
Autor : Ribera Carbonell, Enrique |
Tutor: Arias Robles, Félix |
Editor : Universidad Miguel Hernández de Elche |
Departamento: Departamentos de la UMH::Ciencias Sociales y Humanas |
Fecha de publicación: 2021-06-15 |
URI : http://hdl.handle.net/11000/26748 |
Resumen :
El periodismo de datos es actualmente una de las especialidades con mayor proyección en la industria. Los medios cada vez recurren más a esta especialidad para contar historias de una manera más objetiva y esto ha aumentado con la pandemia provocada por la COVID-19 debido a la gran cantidad de dato... Ver más
Data journalism is considered one of the most important specialties in today’s journalism. Media outlets draw on this specialty to tell stories in a more objective and profound way. Its prominence has increased with the pandemic situation caused by COVID-19 because of the great amount of data that can be extracted (vaccinated, deceased, infected...). This study aims to explore which programming languages are frequently used and in what cases data journalists prefer employing alternative tools. This study also tries to research the professional profile required to develop this sort of contents and evaluate the quality of the professional training offered by Spanish universities on this modality. For this, we have conducted an interview with a member of every national media organizations that post data stories online (n=10). The results show that R and Python are the most used programming languages to collect the data, while JavaScript is preferred to elaborate the visualizations. In relation to the alternative tools, the most valued ones are Excel, Google Spreadsheets and OpenRefine to obtain, clean and analize data, while DataWrapper and Flourish predominate for the visualitations. Finally, we observe that the characteristics that every data journalist must possess are the ability to "interview" the numbers, understand databases and not being afraid of technology. The research reflects that Bachelor degrees don’t offer enough training, while Master’s degrees do. In both cases, the situation seems to be improving, as knowledge offered in Bachelor’s degree is growing, and there is a greater offer of master’s degrees on this specialization.
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Palabras clave/Materias: periodismo de datos lenguajes de programación análisis visualización herramientas data journalism programming languages analysis visualization tools |
Área de conocimiento : CDU: Generalidades.: Periódicos. Prensa. Periodismo. Ciencias de la información |
Tipo de documento : info:eu-repo/semantics/bachelorThesis |
Derechos de acceso: info:eu-repo/semantics/openAccess |
Aparece en las colecciones: TFG- Periodismo
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La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.