Our framing analysis tool is now publicly available in the LSS package. We performed analysis of Russian media’s framing of street protests using a system developed in Python, but subsequently transferred the ‘trained’ model into R to make it more accessible. We labelled it ‘dictionary’ earlier, but refer to it now as a fitted Latent Semantic Scaling model. Applying the model to news stories one can easily produce plots that are very similar to those in our papers. The values of the score are high when a news article contains framing of street protests as “freedom to protest” and when the score is low, protests are framed as “social disorder.”
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