Task 2. On a separate page (or pages), provide a draft of the codebook you will use to content analyze the news stories (think of these as your operational definitions). The codebook itself should be separate from the 2-page document (4.5 points total) 

Task 2. On a separate page (or pages), provide a draft of the codebook you will use to content analyze the news stories (think of these as your operational definitions). The codebook itself should be separate from the 2-page document (4.5 points total) 

Your codebook should include no more than 5 coding decisions for your coders, per news story. In other words, you have to decide on just 5 things to assess in the news story you decide to include in your study. The codebook should include (1) the names of (no more than 5) indicators of “false balance”; and (2) specific instructions about how to measure each indicator. You will get to provide your rationale for why you decided to choose these indicators in your 2-page summary document. It is often useful, in a codebook, to illustrate your directions for measuring each item with an example. As part of the grading for this assignment, we are going to take your codebook and see if we could use it to accurately code news stories on the topic.

In addition to providing the codebook itself, provide a brief rationale for each measure (as part of the 2-page summary; the codebook should be separate from this). Why did you choose to measure this as an indicator of false balance? How do these indicators reflect your conceptual definition? It is always a good idea to look at how other people have gone about coding false bias in news stories (and how they sampled newspaper articles to find them!). There is a sizeable literature on this topic.

It is always a good idea to start with questions that other scholars have used before. If you think previous measures are good questions and capture some aspect of the construct perfectly, you can use these measures, but be clear that you are quoting them directly. If you think previous measures are bad questions and you can improve on them, do so. You should begin by looking at Boykoff & Boykoff (2004) (http://www.eci.ox.ac.uk/publications/downloads/boykoff04-gec.pdf) and Dixon and Clarke (2013) (http://her.oxfordjournals.org/content/28/2/352.long), as well as