The EPU1 file shows the number of articles with the proportion of articles containing the list of keywords specified for each month and newspaper. For each newspaper, three components are shown, total number of articles that fulfil the set of keywords, total number of articles containing the word “today” and the proportion. 

The EPU2 file shows the evolution of the 30 topics unveiled by the unsupervised machine learning algorithm. Details regarding the algorithm can be seen in section  and three of the paper. Each topic has three components: the number of articles that represent the topic per month, the total number of articles containing the word “today” (proxy for the total number of articles and equal across all topics), and the proportion of articles describing each topic (articles describing  each topic divided by the total number of articles). 

The comparison file shows the evolution of EPU built with the two methods.