Authors
Fred Morstatter, Liang Wu, Uraz Yavanoglu, Stephen S. Corman, Huan Liu
Publication date
2017
Journal
ACM Transactions on Social Computing
Description
It has been observed that different media outlets exert bias in the way they report the news, which seamlessly influences the way that readers’ knowledge is built through filtering what we read. Therefore, understanding bias in news media is fundamental for obtaining a holistic view of a news story. Traditional work has focused on biases in terms of “agenda setting,” where more attention is allocated to stories that fit their biased narrative. The corresponding method is straightforward, since the bias can be detected through counting the occurrences of different stories/themes within the documents. However, these methods are not applicable to biases which are implicit in wording, namely, “framing” bias. According to framing theory, biased communicators will select and emphasize certain facts and interpretations over others when telling their story. By focusing on facts and interpretations that conform to their bias, they …
Total citations
201820192020202120222023202417162317216
Scholar articles
F Morstatter, L Wu, U Yavanoglu, SR Corman, H Liu - ACM Transactions on Social Computing, 2018