PhD: Color of corruption. Visual evidence of agenda-setting in a complex mass media ecosystem

This page is a summary of all the extra content of the dissertation: Color of corruption. Visual evidence of agenda-setting in a complex mass media ecosystem submitted on December 2022 by Pablo Rey-Mazón. Information and Knowledge Society Doctoral Programme. Universitat Oberta de Catalunya (UOC).

The full text of the dissertation can be found at UOC repository.

The page is a work in progress website that currently serves as support material for readers of the dissertation. Once presented, on May 8th, 2023, it will contain more material.

Puedes leer en castellano un resumen sobre la evolución del proyecto.

Data gathering and analysis techniques for each mass media channel and public opinion data used in the present research.
Data gathering and analysis techniques for each mass media channel and public opinion data used in the present research.

Chapters

Every week I’ll be publishing new chapters. Stay tuned!

Páginas y capítulos de la tesis Color of corruption.
All the pages of the dissertation.

License

This work is licensed under a Creative Commons Attribution-Share Alike 4.0
International License
.

Content analysis tools

Databases and data visualizations

A backup of the data sets can be found at OSF project page: https://osf.io/gpm8x/

Color Corrupción (2009-2019)

Space dedicated to corruption in El País, El Mundo, ABC, La Razón, La Vanguardia and El Periódico front pages of newspapers from March 2009 to December 2019 by institution involved, scandal and attack/defense framing develope with Pageonex software.

Data visualizations:

Cifuentes’ Master Scandal (March-April 2018)

Analysis of the first 6 weeks of the scandal. From 2018-03-21 to 2018-04-30.

Code and data repositories

This is the list of code repositories that host all the scripts used to develop the data gathering, data analysis and data visualizations for the current research.

Newspaper Front pages

PageOneX: a software to help analyze newspaper front pages and measure the surface area dedicated to pre-selected topics.

Home pages

Homepagex: analyzing home pages with R and downloading home pages with python https://code.montera34.com/numeroteca/homepagex

Public opinion

Analyzing Barometro CIS, and comparing it to news coverage (SPA and POX databases) with R: https://code.montera34.com/numeroteca/barometro_cis

Twitter

Analysing tweets with R: https://code.montera34.com/numeroteca/tuits-analysis

TV newscasts