01.2
Socintel Deviation
Catch a shift while it is still an anomaly.
Socintel Deviation looks for statistical outliers in news and conversation data: topics that suddenly behave differently, words whose meaning starts to change, stories that resemble earlier patterns. It flags them early, while there is still time to respond.
- Step
- 01 Observe
- Format
- Web platform · add-on to Narrative
- Price
- from €9/mo
What it does
- 01Semantic drift analysis: how the meaning of a keyword changes over time
- 02Outlier detection for unusual spikes in coverage
- 03Narrative archetypes: new stories compared with historical patterns
- 04Trajectory modelling for emerging narratives
- 05Early-warning signals before a story reaches the mainstream
- 06Works on its own or together with Narrative
In detail
Once a story dominates the headlines, the time for a considered response has usually passed. Deviation watches the earlier stage, when a shift only shows up as a statistical anomaly.
Semantic drift analysis tracks how the meaning of keywords and topics changes. These small changes often come before a larger change in the narrative.
By comparing new stories with historical narrative archetypes, Deviation also gives a first indication of where a story may go next.
Pricing
| Professional · 1 seat | €9/mo |
|---|---|
| Corporate · 5 seats | €49/mo |
Also available as an add-on to Narrative for €9/mo.
Bundles
- Full Socintel suite: individual enterprise pricing, up to 40% off.