  Large-scale manipulations on social media have two important characteristics:
(i) use of propaganda to influence others, and (ii) adoption of coordinated
behavior to spread it and to amplify its impact. Despite the connection between
them, these two characteristics have so far been considered in isolation. Here
we aim to bridge this gap. In particular, we analyze the spread of propaganda
and its interplay with coordinated behavior on a large Twitter dataset about
the 2019 UK general election. We first propose and evaluate several metrics for
measuring the use of propaganda on Twitter. Then, we investigate the use of
propaganda by different coordinated communities that participated in the online
debate. The combination of the use of propaganda and coordinated behavior
allows us to uncover the authenticity and harmfulness of the different
communities. Finally, we compare our measures of propaganda and coordination
with automation (i.e., bot) scores and Twitter suspensions, revealing
interesting trends. From a theoretical viewpoint, we introduce a methodology
for analyzing several important dimensions of online behavior that are seldom
conjointly considered. From a practical viewpoint, we provide new insights into
authentic and inauthentic online activities during the 2019 UK general
election.
