Contrasting Opposing Views of News Articles on Contentious Issues
Souneil Park, Kyung Soon Lee, Junehwa Song · 2011
We present disputant relation-based meth-od for classifying news articles on conten-tious issues. We observe that the disputants of a contention are an important feature for understanding the discourse. It performs unsupervised classification on news articles based on disputant relations, and helps readers intuitively view the articles through the opponent-based frame. The readers can attain balanced understanding on the con-tention, free from a specific biased view. We applied a modified version of HITS al-gorithm and an SVM classifier trained with pseudo-relevant data for article analysis. 1