  The Covid-19 pandemic has fundamentally altered many facets of our lives.
With nationwide lockdowns and stay-at-home advisories, conversations about the
pandemic have naturally moved to social networks, e.g. Twitter. This affords an
unprecedented insight into the evolution of social discourse in the presence of
a long-running destabilizing factor such as a pandemic with the high-volume,
high-velocity, high-noise Covid-19 Twitter feed. However, real-time information
extraction from such a data stream requires a fault-tolerant streaming
infrastructure to perform the non-trivial integration of heterogenous data
sources from news organizations, social feeds, and authoritative medical
organizations like the CDC. To address this, we present (i) the EDNA streaming
toolkit for consuming and processing streaming data, and (ii) EDNA-Covid, a
multilingual, large-scale dataset of coronavirus-related tweets collected with
EDNA since January 25, 2020. EDNA-Covid includes, at time of this publication,
over 600M tweets from around the world in over 10 languages. We release both
the EDNA toolkit and the EDNA-Covid dataset to the public so that they can be
used to extract valuable insights on this extraordinary social event.

Social and Information Networks