Extracting and presenting different viewpoints from political news articles

This study explores user interest in browsing different viewpoints from politicians and news agencies in news recommendation system. Along with providing personalized news articles to the user, bringing the opinion of politicians and news agencies about political events might be interesting for users. As there is always bias in publishing the news articles, newsreaders try to realize politicians’ opinions manually. We designed a prototype system to extract relevant politicians' viewpoints to a controversial event, and present them along with the news articles in the same user interface. We then observed user behaviour in browsing viewpoints vs. original news articles. According to the users’ clicks pattern analysis and their responses to the questionnaire they are interested in browsing the different viewpoints. This result suggests that news recommendation system could provide alternative recommendation criteria such as different viewpoints when recommending news articles