The use of the word "\{gamma}\u{psion}{\nu}{\alpha}{\iota}\k{appa}{\omicron}\k{appa}{\tau}{\omicron}{\nu}{\iota}{\alpha}" (femicide) in Greek-speaking Twitter

TL;DR

This study analyzes how the term for femicide is used in Greek Twitter, focusing on stance detection, identity, and hate speech correlations to understand social media discourse around gender violence.

Contribution

It introduces a stance detection approach for analyzing feminist semantics and explores identity and hate speech correlations in Greek Twitter discourse.

Findings

Identification of stance patterns related to femicide terminology

Insights into identity expressions in social media discussions

Correlation between femicide discourse and hate speech presence

Abstract

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.