
From fringe to front page: Mapping critical narratives before they shape your brand
Many social insight professionals work alone. They manage multiple dashboards, track hundreds of mentions and still have to deliver insight that leaders trust. They’re asked to see what’s next while keeping one eye on the present. AI helps, but only when they can trust what it shows them.
What if you could work faster without losing confidence in the output? To do this, you need to bring structure to unstructured data to map how narratives form, spread, and influence audiences across platforms. This is how you can identify the early signals to the storylines that matter for your brand, products and reputation.
Join this demo from Logically to explore how frameworks built for national security intelligence are transforming how brands and social insight teams understand online discourse.
They’ll walk you through a live example of how narrative volatility impacts brand risk: a claim linking Tylenol, autism, and politics that began from a single remark and triggered a 5000% spike in conversation within 24 hours. From this, you can see how the same methods used to detect emerging risks in government can help brands interpret fast-moving public narratives with speed, structure and context.
You’ll also learn how to:
- Identify the early formation of narratives that can affect trust, reputation, or market perception
- Use trajectory modelling and resonance scoring to understand which topics are likely to grow or fade
- Balance AI speed with human judgement to maintain accuracy and protect credibility
- Surface coordinated activity or influencer clusters shaping conversation
- Brief comms and marketing teams with context on early boycott signals
This interview was recorded via LinkedIn Live, if you prefer to view on LinkedIn, click the button below.
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