SCMA*2040 Lecture Notes - Lecture 10: Content Analysis, Discourse Analysis, September 11 Attacks
Document Summary
Collecting content: data can be qualitative or quantitative, well acquainted with data, looking for patterns and codible elements. Qualitative content analysis: how issues are talked about, the meanings behind texts, qualitative coding and textual analysis. Coding/indexing/categorizing: be very well aquainted with your data. Examples: occurances, you can measure the prominence of certain coded themes (placement: size, coding aspects of text, what certain texts represent, dialogue or advertsisement - more discourse analysis, looking at the ways things are artuculated. Other issues: corporate sponsorship of media: not just news, paying news program that will influence the type of messages you will see, hidden censorship: gets to pick who is on the show. Hypothesis #1: representation: americans will be depicted as heroes and as liberators. Terrorists will be depicted as evil, irrational, and less than human. Hypothesis #2: power/strength: america, though shaken by the 9/11 attacks, will be depicted as strong and militarily superior.
