A story is not a single mass of coverage. Story Arc Tracking follows one storyline through its beats, from the first report to the latest development, and tells you where it is heading.
What it does
Most analysis takes a snapshot. This template follows a thread. You name the story, by a defining phrase, an event, a controversy or a regulatory action, and set the window, and it traces how that single story developed over time. It finds the story's structural beats, initial coverage, build, peak, plateau or decay, and revival, and characterises each one distinctly rather than averaging the whole into a blur. The point is the shape: when the story broke, what made it peak, who entered and left the cast, and how the framing shifted from event to response to consequence to accountability.
The questions it answers
- When did this story break, when did it peak, and what triggered each turn?
- How did the framing evolve across the arc, from the early angle to the latest one?
- Which people and organisations entered the story, which dropped out, and who stayed central throughout?
- How did the outlets covering it change, from the first report to broadcast to commentary?
- Is the story resolved, settled into chronic coverage, or primed to re-emerge on a trigger?
What's in the report
The report opens with an arc overview describing the story and a phase table covering volume, daily average, sentiment and intensity for each beat. It then names and characterises every phase in plain language.
- A story timeline chart combining volume bars with a sentiment line, with phase boundaries and pivotal moments marked.
- A narrative evolution section showing the distinctive themes that defined each phase and how the framing moved across them.
- A cast expansion and contraction table naming who entered and departed at each phase, and the principals who persisted throughout.
- A source migration view tracing how the outlet mix shifted across the arc.
- A separate sentiment-intensity trajectory, because peak fascination often precedes peak volume and the tail tells you what residue the story leaves.
- Pivotal moments narrated against specific headlines, plus geographic spread and any narrative side-effects that may outlast the original story.
The report closes with origin, peak and latest-development items, and a forward look on where the arc is heading. Every beat is grounded in cited coverage, and the forward look is judgement based on the shape, with the caveat that surprise re-emergence is always possible.
Who it's for
It is built for issues and crisis managers tracking a live controversy as it develops, communications leads briefing executives, ministers or the board on where a story stands and where it may go next, and corporate-affairs teams that need a defensible account of how a regulatory action or named controversy unfolded in the media.
Why Truescope Analyst
Reconstructing a story's arc by hand means assembling a timeline clip by clip, guessing where the phases break, and trying to remember who entered when. It is laborious and it ages the moment the next development lands. An agency can build the narrative, but slowly, and a live story will have moved on before the document arrives. General AI tools can summarise a story you describe, but they cannot detect the peaks, segment the phases, or track the cast across the full sweep of your coverage. Story Arc Tracking finds the beats from the data, traces the cast and the framing through each one, and cites the pivotal headlines, in minutes, and you can rerun it as the story moves because it lives in your subscription.
Frequently asked questions
How long a window can the arc cover?
It tracks across up to the last 13 months for coverage in your Truescope inbox, or the last 90 days for global data not yet matched to your workspace. For shorter windows it works at daily resolution and for longer ones at weekly, so the phases stay legible whatever the span.
How does it decide where the phases begin and end?
Phase boundaries are drawn from the data, from the shifts in volume, sentiment and intensity across the window. If you already know a turning point, such as the day a regulator weighed in, you can supply it and the analysis will work around that boundary rather than inferring it.
Does the arc reflect the events or the coverage?
It shows media coverage of the story, not the underlying events. Things that happened but generated no coverage are invisible to it, so the arc is a map of how the story was told, not a record of everything that occurred.
