My co-authored report on Russia’s influence on Twitter during the 2020 US presidential election has been published by Free Russia Foundation. I and Maria Snegovaya conducted a representative online survey of Americans during the election campaign along with quantitative content analysis of their Twitter posts over a year. We aimed to reveal the relationship between […]
New research paper on how to choose seed words for semi-supervised models
I have been developing and applying semi-supervised models, such as seeded-LDA, Newsmap and LSS, for classification and document scaling aiming to broader the scope of quantitative text analysis in recent years. These models are very cost efficient because they only require a small set of “seed words” to learn categories or dimensions of interest. However, […]