Dataset
Framing Gaza.
An analysis of 25,000+ English-language articles across 16 US, UK, and German outlets, using Association Rule Mining to identify recurring linguistic associations.
An analysis of 25,000+ English-language articles across 16 outlets in the United States, United Kingdom, France, and Germany, covering the Gaza war's first year (October 2023 to October 2024), using Association Rule Mining (Apriori) to identify recurring linguistic associations.
Analysis
Framing Gaza.
We extracted and analyzed over 25,000 articles published by leading English speaking Western media outlets in the United States, United Kingdom, France, and Germany, covering the events in Gaza during the war's first year (October 2023 to October 2024). Our goal is to identify recurring linguistic associations that construct dominant narratives.
Using Association Rule Mining (ARM) with the Apriori algorithm, we identified terms that repeatedly appear together. These associations may indicate recurring framing patterns, but they do not establish intent, causality, or editorial coordination and require contextual interpretation.
Empowering regional voices to understand NLP processing.
Alongside this dataset, we host hands-on workshops with journalists from the Global South. We familiarize them with ARM analysis and the Apriori algorithm so they can begin mining our datasets independently.
Open access
The full dataset is accessible to all journalists, researchers, and activists on Kaggle. We strongly encourage completing a workshop beforehand, but it is not mandatory.
Dataset
An analysis of 25,000+ English-language articles across 16 US, UK, and German outlets, using Association Rule Mining to identify recurring linguistic associations.
Journalism story
An article from Daraj Media sheds light on the linguistic dimensions of how Palestinians are portrayed in the media.
Daraj Media