  We present a dataset of video descriptions, comments, and user statistics,
from the social media platform TikTok, centred around the invasion of Ukraine
in 2022, an event that launched TikTok into the geopolitical arena. User
activity on the platform around the invasion exposed myriad political
behaviours and dynamics previously unexplored on this platform. To this end, we
provide a mass-scale language and interaction dataset for further research into
these processes. In this paper we conduct an initial investigation of language
and social interaction dynamics, alongside an evaluation of bot detection on
the platform. We have open-sourced the dataset and the library used to collect
it to the public.
