data_textmodel_lss_russianprotests: A fitted LSS model on street protest in Russia

data_textmodel_lss_russianprotestsR Documentation

A fitted LSS model on street protest in Russia

Description

This model was trained on a Russian media corpus (newspapers, TV transcripts and newswires) to analyze framing of street protests. The scale is protests as "freedom of expression" (high) vs "social disorder" (low). Although some slots are missing in this object (because the model was imported from the original Python implementation), it allows you to scale texts using predict.

References

Lankina, Tomila, and Kohei Watanabe. “'Russian Spring' or 'Spring Betrayal'? The Media as a Mirror of Putin's Evolving Strategy in Ukraine.” Europe-Asia Studies 69, no. 10 (2017): 1526–56. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/09668136.2017.1397603")}.


koheiw/LSS documentation built on March 9, 2024, 4:41 a.m.