data_textmodel_lss_russianprotests {LSX} | R 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. doi:10.1080/09668136.2017.1397603.
[Package LSX version 1.4.0 Index]