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.
翻译:2019至2022年间,希腊媒体的注意力被相当不寻常的大量杀害女性案件所吸引,这些案件在公开辩论中持续了数周之久,其中一个促成因素是传统媒体和社交媒体之间的反馈回路。在本文中,我们正在调查希腊语Twitter上使用“ ⁇ gammaç ⁇ u{pision-un-hun-halpha-hun-hulta ⁇ k{ppa-unomicro}{k{apa_tau-homicron-unu-huleuta-halpha}(杀婴案)”一词的情况。更具体地说,我们从立场探测的角度来处理这一问题,目的是自动识别用户对这个词的女权主义语义学的立场。我们还从身份分析的角度讨论调查结果,以及收集的推特文集中发现的与仇恨言论的相互关系。