  We present a large longitudinal dataset of tweets from two sets of users that
are suspected to be affiliated with ISIS. These sets of users are identified
based on a prior study and a campaign aimed at shutting down ISIS Twitter
accounts. These users have engaged with known ISIS accounts at least once
during 2014-2015 and are still active as of 2021. Some of them have directly
supported the ISIS users and their tweets by retweeting them, and some of the
users that have quoted tweets of ISIS, have uncertain connections to ISIS seed
accounts. This study and the dataset represent a unique approach to analyzing
ISIS data. Although much research exists on ISIS online activities, few studies
have focused on individual accounts. Our approach to validating accounts as
well as developing a framework for differentiating accounts' functionality
(e.g., propaganda versus operational planning) offers a foundation for future
research. We perform some descriptive statistics and preliminary analyses on
our collected data to provide deeper insight and highlight the significance and
practicality of such analyses. We further discuss several cross-disciplinary
potential use cases and research directions.
