Finding Bias in Political News and Blog Websites
نویسنده
چکیده
News and blog websites often have political bias (such as Republican, Democratic) in their articles. Automatic detection of the bias will improve personalized feed and categorization of news and blog articles. Our project aims to predict Republican vs. Democratic bias of news websites and political blogs using the phrases (a.k.a. memes) they quote in their text. We form a bipartite graph of websites and memes quoted by the websites. The algorithm starts with labels of a few websites and labels the rest of nodes in the bipartite graph using a simple label propagation algorithm. Our algorithm predicts labels better than supervised classification approach and other baselines.
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