Understanding storyline clustering
Storyline clustering is one of the unique features that sets journosight apart. Instead of looking at individual articles in isolation, we use AI to show you how your coverage connects across topics, time, and distribution channels.
What is a storyline?
A storyline is a cluster of related content that forms a narrative thread. For example, if you're covering housing policy, a storyline might include:
- Initial reporting on proposed legislation
- Community reaction stories
- Analysis of economic impacts
- Follow-up on policy implementation
Traditional analytics treat each piece as separate. Storyline clustering shows you the complete picture.
Why this matters for newsrooms
Understanding storylines helps you:
- See gaps in coverage - What aspects of a story haven't you explored?
- Measure sustained impact - How is your ongoing coverage resonating?
- Report to funders - Show comprehensive coverage of issues they care about
- Plan future coverage - Identify which storylines deserve more attention
How it works
Our clustering algorithm looks at multiple dimensions:
- Topics and entities mentioned
- Geographic focus
- Temporal patterns
- Cross-platform reach
The result is a view of your journalism that matches how stories actually develop, not just how analytics dashboards are organized.
Available on our Influence tier. Learn more about pricing.