PhD

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 submitter on December 2022 by Pablo Rey-Mazón.

Content analysis tools

• Front page analysis. Pageonex http://pageonex.com/
• Home page analysis. Homepagex. https://code.montera34.com/numeroteca/homepagex
• TV newscasts analysis. VerbaR https://r.montera34.com/users/numeroteca/verbar/app/

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)

Front pages of newspapers from March 2009 to December 2019.

Data visualization:

• Front pages by month. Small multiples.
• Timelines. Heatmaps and line charts.
• Intercoder Reliability. Small multiples.

Cifuentes’ Master Scandal (March-April 2018)

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

• Twitter:
  • List of classified top Twitter users by number of retweets obtained.
  • Methodology for classifying tweets (drawing)
  • Evolution of the top 250 most shared URL charts in tweets

• Twitter and home pages: Interactive: Home page headlines position and tweets that link to them.
• News sites Home pages:
  • Interactive data visualization with the 0-100 position: https://numeroteca.org/tesis/interact/master-cifuentes2018-headlines-ranking_01.html
  • Interactive data visualization with the position among the scandal related stories https://numeroteca.org/tesis/interact/master-cifuentes-headlines_0.html

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.

• Code: https://github.com/montera34/pageonex/
• Online instance: http://pageonex.com
• Color Corrupción: how to download the monthly threads (2009-2019) that measure corruption coverage about corruption in Spanish newspapers. Code: https://github.com/numeroteca/colorcorrupcion
• R scripts to analyze Pageonex. Code: https://code.montera34.com/numeroteca/pageonexR
• Agenda y voto (CIS) analysis: R scripts to read data from existing study and calculate percentage of coverage by party, year and frame https://code.montera34.com/numeroteca/agendavotocis

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

• Analyze TV news with Verba data: https://code.montera34.com/numeroteca/verbar
• Online version “When they speak about you in the Telediario” https://r.montera34.com/users/numeroteca/verbar/app
• Multiple channels:
• Compare media channels https://code.montera34.com/numeroteca/ekosystemedia