Figure 9.

Language identification divergence. A normalized ratio difference $\delta D_{\ell }$ (i.e., divergence) closer to zero implies strong agreement, whereby both classifiers captured approximately the same number of messages over the last decade. Grey bars indicate higher rate of messages captured by FastText-LID, whereas red bars highlight higher rate of messages captured by Twitter-LID