How Does the Language of ‘Threat’ Vary Across News Domains? A Semi-Supervised Pipeline for Understanding Narrative Components in News Contexts
Year: 2023
Type: conference-paper
Abstract: By identifying and characterising the narratives told in news media we can better understand political and societal processes. The problem is challenging from the perspective of natural language processing because it requires a combination of quantitative and qualitative methods. This paper reports on work in progress, which aims to build a human-in-the-loop pipeline for analysing how the variation of narrative themes across different domains, based on topic modelling and word embeddings. As an illustration, we study the language associated with the threat narrative in British news media.
DOI: 10.3384/ecp199010
Authors: Igor Ryazanov, Johanna Björklund
Language: English
Subfield: General Social Sciences
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4379987754