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⚔️ Fear and Loathing on the Frontline: Decoding the Language of Othering by Russia-Ukraine War Bloggers

arxiv.org/abs/2409.13064

arXiv.orgFear and Loathing on the Frontline: Decoding the Language of Othering by Russia-Ukraine War BloggersOthering, the act of portraying outgroups as fundamentally different from the ingroup, often escalates into framing them as existential threats--fueling intergroup conflict and justifying exclusion and violence. These dynamics are alarmingly pervasive, spanning from the extreme historical examples of genocides against minorities in Germany and Rwanda to the ongoing violence and rhetoric targeting migrants in the US and Europe. While concepts like hate speech and fear speech have been explored in existing literature, they capture only part of this broader and more nuanced dynamic which can often be harder to detect, particularly in online speech and propaganda. To address this challenge, we introduce a novel computational framework that leverages large language models (LLMs) to quantify othering across diverse contexts, extending beyond traditional linguistic indicators of hostility. Applying the model to real-world data from Telegram war bloggers and political discussions on Gab reveals how othering escalates during conflicts, interacts with moral language, and garners significant attention, particularly during periods of crisis. Our framework, designed to offer deeper insights into othering dynamics, combines with a rapid adaptation process to provide essential tools for mitigating othering's adverse impacts on social cohesion.
#nlp#blogging#media

Pleased to say one of our most popular workshops is running again in Oct '24.
buff.ly/3xPQnxO
Join us for a day discussing the principles of #qualitative data analysis and experimenting with some of the practical tasks involved. This one usually fills up quickly so get in quick. Small groups and two tutors make this a focused, friendly and thought-provoking day. #QualitativeDataAnalysis #QDA #QualitativeResearch #ThematicAnalysis #ContentAnalysis #DiscourseAnalysis #GroundedTheory

EventbritePrinciples and Practices of Qualitative Data AnalysisGet to grips with the activities involved in doing qualitative data analysis in this workshop framed around the research cycle

To follow up on the #Adobe #ContentAnalysis #AI boosts, if anyone wants to turn off the setting:

1. Log in to Adobe.com
2. Click your photo in the top right, select View Account
3. Select Account and Security > Privacy and personal data in the top menu
4. Toggle the switch to off under Content analysis (2nd option)

Hope this helps!