Identifying News Broadcasters’ Ideological Perspectives Using a Large-Scale Video Ontology
نویسندگان
چکیده
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, which may prompt audience to seek news stories from contrasting viewpoints. But can computers determine if news videos were 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.
منابع مشابه
Identifying Ideological Perspectives in Text and Video
Polarizing opinions about political and social controversies take place commonly in mass and more recently user-generated media. A functional democratic society builds on civic discussions among people holding different beliefs on an issue. However, so far, few computer technologies have been devoted to facilitate mutual understanding, and arguably could have worsened the situation. We envision...
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