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.