  Between 2019 and 2022, Greek media attention has been attracted by a rather
unusually high number of femicide cases which have been trending for several
weeks up to months in the public debate and one of the contributing factors is
the feedback loop between traditional media and social media. In this paper we
are investigating the use of the term
"\{gamma}\u{psion}{\nu}{\alpha}{\iota}\k{appa}{\omicron}\k{appa}{\tau}{\omicron}{\nu}{\iota}{\alpha}"
(femicide) in Greek speaking twitter. More specifically, we approach the
problem from a stance detection perspective, aiming to automatically identify
user position with regards to the feministic semantics of the word. We also
discuss findings from an identity analysis perspective and intercorrelations
with hate speech that have been identified in the collected corpus of tweets.
