Framing and Agenda-setting in Russian News:a Computational Analysis of Intricate Political Strategies
Таблица 5: Accuracy of primary frame classification.
['Ji and Smith ( 2017 )', '58.4']
Primary frame identification is a 15-class classification problem. Two prior studies evaluate models on this task: Card et al. Following these studies, we evaluate our model using 10-fold cross-validation on only the ‘‘Immigration’’ subset of the MFC. We use 9 folds to generate framing lexicons and the 10th fold to evaluate. To train word embeddings, we use the entire MFC corpus combined with over 1 million New York Times articles from 1986 - 2016 Our results outperform Card et al. Furthermore, unlike prior methods, our method is able to transfer to different domains and languages without needing further annotated data.