Identifying Policy Frames Using Semantic Network Analysis


This case study demonstrates the identification and changes of policy frames in major countries as the policy context changes. This research has important implications for extracting policy frames from texts through semantic networks. Specifically, we want to share the researchers’ concerns about how to code texts, how to identify subgroups, and how to reconstruct subgroups into policy frames. Readers are expected to gain better understanding of the usefulness of semantic network analysis in constructing policy arguments. This case discusses issues which could arise when disassembling the texts (i.e., constructing co-occurrence matrix), network analysis techniques needed for frame analysis (i.e., centrality and modularity analysis), and the processes to identify policy frames.

locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles