Writing the story for a typical source helps to create an engaging 'human' story, bringing your data to life, providing a tangible example that represents the broader trends in your dataset.

There are different ways to do this. One way is to apply an algorithm to the links database to identify the most typical source, and then to construct a short story to illustrate the map, complete with quotes from that source.

This is available in Causal Map using non-AI algorithms to identify the most typical source and then applying a simple genAI prompt to create a story based on that source's data.