Date of Original Version
Abstract or Description
Television news has been the predominant way of understanding the world around us, but individual news broadcasters can frame or mislead audience's understanding about political and social issues. We aim to develop a computer system that can automatically identify highly biased television news and encourages audience to seek news stories from contrasting viewpoints. But can computers identify news videos produced by broadcasters holding differing ideological beliefs? We developed a method of identifying differing ideological perspectives based on a large-scale visual concept ontology, and the experimental results were promising.
Second IEEE International Conference on Semantic Computing (ICSC), Santa Clara, CA, .