This is Part 1 of a 4 part series on content analysis and Tableau. Maybe start with the intro?
Please note that this is a work in progress and I am more amateur than expert. I welcome questions, comments, and corrections.
In this section, I am going to map out the different stages of a content
analysis project. This will be an adaptation (much reduced) of the flowchart found
in Neuendorf's content analysis Textbook.
First off, start with a good
question. Digital humanities methods are great tools—the challenge is in
using them to make great scholarship. Content analysis works particularly well
with looking at the often-glacial changes in social practices over time periods
larger than a human lifetime. As the more humanists gain expertise in content analysis, we will hopefully find new questions to play with.
Then, seek out some kind of body of
texts to look through. You need either a preexisting corpus of material or
a way of selecting material to build this corpus. You also need some way of
sorting through this corpus so you know what material you will be coding.
Next, determine which variables you are
going to be looking for.
Broadly, in my own work I code for demographic
variables and descriptive variables.
Then code! This means that you
read your documents and assign codes to each one. These two steps will be
outlined in part three
Finally, you’re ready for visualization
and analysis.
NEXT: Data Collection!
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