  Coordinated campaigns in the digital realm have become an increasingly
important area of study due to their potential to cause political polarization
and threats to security through real-world protests and riots. In this paper,
we introduce a methodology to profile two case studies of coordinated actions
in Indonesian Twitter discourse. Combining network and narrative analysis
techniques, this six-step pipeline begins with DISCOVERY of coordinated actions
through hashtag-hijacking; identifying WHO are involved through the extraction
of discovered agents; framing of what these actors did (DID WHAT) in terms of
information manipulation maneuvers; TO WHOM these actions were targeted through
correlation analysis; understanding WHY through narrative analysis and
description of IMPACT through analysis of the observed conversation
polarization. We describe two case studies, one international and one regional,
in the Indonesian Twittersphere. Through these case studies, we unearth two
seemingly related coordinated activities, discovered by deviating hashtags that
do not fit the discourse, characterize the coordinated group profile and
interaction, and describe the impact of their activity on the online
conversation.
