Multidimensional scaling (MDS) allows us to visualize (dis)similarities in 2D by trying to preserve the distance between the objects as much as possible. The positioning of the newspapers in the image below is generated using this technique (employed manifold.MDS class in scikit-learn). The colors of the labels are the cluster colors obtained by modularity measure as stated in a previous post.
This visualization helps us to see beyond clusters. For example (along X-axis) the newspapers to the right are right-wing newspapers while the ones to the left are more leftist. And as we go from center to periphery we see that more popular media are close to the central while the ones to the periphery are more isolated/extreme.