  While billions of COVID-19 vaccines have been administered, too many people
remain hesitant. Twitter, with its substantial reach and daily exposure, is an
excellent resource for examining how people frame their vaccine hesitancy and
to uncover vaccine hesitancy profiles. In this paper we expose our processing
journey from identifying Vaccine Hesitancy Framings in a collection of
9,133,471 original tweets discussing the COVID-19 vaccines, establishing their
ontological commitments, annotating the Moral Foundations they imply to the
automatic recognition of the stance of the tweet authors toward any of the
CoVaxFrames that we have identified. When we found that 805,336 Twitter users
had a stance towards some CoVaxFrames in either the 9,133,471 original tweets
or their 17,346,664 retweets, we were able to derive nine different Vaccine
Hesitancy Profiles of these users and to interpret these profiles based on the
ontological commitments of the frames they evoked in their tweets and on value
of their stance towards the evoked frames.
