Do These News Videos Portray a News Event from Different Ideological Perspectives?

Author

Lin, Wei-Hao ; Hauptmann, Alexander

Author_Institution

Sch. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA

fYear

2008

fDate

4-7 Aug. 2008

Firstpage

112

Lastpage

119

Abstract

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.

Keywords

ontologies (artificial intelligence); social aspects of automation; video signal processing; biased television news; computer system; ideological beliefs; large-scale visual concept ontology; news event; news videos; political issues; social issues; Cellular neural networks; Computer science; Large-scale systems; Legged locomotion; Multimedia communication; Niobium compounds; Ontologies; Production; TV broadcasting; Videos;

fLanguage

English

Publisher

ieee

Conference_Titel

Semantic Computing, 2008 IEEE International Conference on

Conference_Location

Santa Clara, CA

Print_ISBN

978-0-7695-3279-0

Electronic_ISBN

978-0-7695-3279-0

Type

conf

DOI

10.1109/ICSC.2008.71

Filename

4597181