Political Bias on BBC, CNN, and Fox News - Doria
Political Bias on BBC, CNN, and Fox News - Doria
Political Bias on BBC, CNN, and Fox News - Doria
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e due to the different structures of the websites (i.e. <strong>BBC</strong> <strong>and</strong> <strong>CNN</strong> both have a<br />
single page devoted to U.S. related news, whereas <strong>on</strong> <strong>Fox</strong> <strong>News</strong> those topics are<br />
briefly <strong>on</strong> the main page <strong>and</strong> are then moved to other web pages, such as Ec<strong>on</strong>omy<br />
<strong>and</strong> Crime). Nevertheless, the process produced 46 sets of articles that were collected<br />
from the main U.S. page of each website.<br />
In the following secti<strong>on</strong>s, the terms hard <strong>and</strong> soft news will be used. This divisi<strong>on</strong><br />
was made not according to topics (e.g. politics being hard news <strong>and</strong> religi<strong>on</strong> being<br />
soft news) but instead according to the overall image composed of topic <strong>and</strong> style.<br />
All opini<strong>on</strong> <strong>and</strong> human interest articles were classified as soft news, <strong>and</strong> all those<br />
articles typically defined as hard news, such as politics <strong>and</strong> the law (Bell 1991: 14<br />
<strong>and</strong> 147, Media Awareness Network 2012), were defined as hard news. Furthermore,<br />
topics such as religi<strong>on</strong> were also classified as hard news if the discussi<strong>on</strong> involved,<br />
for example, politics related issues (e.g. separati<strong>on</strong> of church <strong>and</strong> state) <strong>and</strong> the<br />
article was written in a hard news (as opposed to opini<strong>on</strong>) style, which involves<br />
taking a "factual approach" (Media Awareness Network 2012). The divisi<strong>on</strong> was<br />
necessary due to the focus <strong>on</strong> language form when analyzing the articles: soft news<br />
articles are written in a more informal style, which would have made it difficult to<br />
draw general c<strong>on</strong>clusi<strong>on</strong>s during analysis. Table 1 dem<strong>on</strong>strates the final data fully.<br />
<strong>BBC</strong> <strong>CNN</strong> FOX Total<br />
Hard news 116 (+1) 121 (+5) 117 (+24) 354 (+31)<br />
of which videos 0 0 29 (+1) 29 (+1)<br />
Soft news 0 34 16 50<br />
of which videos 0 2 15 17<br />
Total 116 (+1) 155 (+5) 133 (+25) 404 (+31)<br />
of which videos 0 2 44 (+1) 46 (+1)<br />
Table 1. Hard <strong>and</strong> soft news items by website<br />
Note: Bracketed numbers indicate those found in the additi<strong>on</strong>al data search<br />
when completing sets of three.<br />
What is immediately notable is that <strong>Fox</strong> <strong>News</strong> has a c<strong>on</strong>siderable number of videos<br />
(45), including hard news videos (30). In comparis<strong>on</strong>, <strong>CNN</strong> <strong>on</strong>ly has two videos,<br />
both of which are soft news, <strong>and</strong> <strong>BBC</strong> has zero. Headlines of videos are c<strong>on</strong>sidered<br />
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