  The Web contains several social media platforms for discussion, exchange of
ideas, and content publishing. These platforms are used by people, but also by
distributed agents known as bots. Although bots have existed for decades, with
many of them being benevolent, their influence in propagating and generating
deceptive information in the last years has increased. Here we present a
characterization of the discussion on Twitter about the 2020 Chilean
constitutional referendum. The characterization uses a profile-oriented
analysis that enables the isolation of anomalous content using machine
learning. As result, we obtain a characterization that matches national vote
turnout, and we measure how anomalous accounts (some of which are automated
bots) produce content and interact promoting (false) information.
