We conduct narrative mapping when we need to uncover what key influencers or “whisperers” are saying to our campaign’s target audience
The type of influencers we identify determines the kind of data we need to collect.
- For example, in one of our projects, we found that the main influencers were the government and the media. We therefore analyzed government speeches and purchased archived articles from a popular mass media in Indonesia to understand their dominant narratives.
- In another project we also analyzed Tweets/X posts to capture how these narratives played out in the social media space. This process is commonly known as content analysis.
While some sources, such as speeches or Tweets, are publicly available online, a significant portion of the data useful for narrative mapping comes from “gated” secondary sources, datasets that are not freely accessible. These are often administrative data generated through routine operations rather than for research purposes, but they can still offer valuable insights when properly analyzed.