Fig 1.
Number of posts within each topic for news outlets and political parties.
The plurality of posts from political parties is about internal politics, while news agencies cover topics more evenly.
Fig 2.
(a) News outlets dataset and (b) Parties dataset. Both cases present a general trend of scale-free behavior. A notable exception from the general trend is the distribution of likes received by political parties.
Fig 3.
Boxplots of love-angry scores received for each topic.
News pages (on the left) generally meet higher values of this metric. Political parties (on the right) find higher values of the score only for selected topics.
Fig 4.
Biplot of most engaged topics for both news and parties datasets.
Close points and vectors suggest similar profiles.
Fig 5.
Biplot of news outlets grouped by engaged topics for countries with nc ≥ 3.
No clear clustering structure is present, suggesting that leaning does not play a role in which topics get more engagement.
Fig 6.
Most engaging topics of news outlets and parties if only a specific leaning is considered.
Closeness between countries and topics suggests high engagement in that topic for that country.
Fig 7.
Most engaging topics of news outlets by political leaning.
Closeness between a political leaning and a topic indicate high engagement in that topic for that political leaning.
Fig 8.
Most engaging topics of parties by political leaning.
Closeness between a political leaning and a topic indicate high engagement in that topic for that political leaning.