Story intelligence, without the spin

Watch a whisper become a headline.

See where stories begin, how they change, who amplifies them and whether public reaction is positive, neutral or negative.

Two speech bubbles sharing a story
Tracking nowCelebrity responses Rumour corrections Positive stories Coordinated amplification
Inside a story

Reaction, reliability and reach

The system separates emotional tone from factual status. Negative reporting is not automatically gossip, and positive claims are not automatically true.

Conversation sentiment

Positive
31%
Neutral
43%
Negative
26%
Classification confidenceModerate
Likely organic discussion82%
Automation-like activity11%

The gossip timeline

09:14 · The sparkA public post introduces the claim.
10:02 · Early reactionComments divide between curiosity and doubt.
12:46 · AmplificationTwo large accounts bring the story to a wider audience.
15:30 · Context arrivesA publication supplies independently checked details.
18:05 · Tone shiftsNeutral reactions become the largest group.
Explore

Not all gossip is the same

Browse stories by their evidence, emotional effect and the way they travel—not just by the famous name attached to them.

Positive Gossip

Praise, achievements and supportive conversations.

Negative Gossip

Criticism, controversy and damaging speculation.

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Rumour Check

Confirmed, disputed and unsupported claims.

Story Evolution

How wording and meaning mutate as stories spread.

Our standard

Curious, not careless

Content, not character

We analyse the tone and behaviour of public posts without labelling someone’s personality.

Probability, not accusation

Automation indicators remain explainable risk estimates—never declarations that an account is a bot.

Evidence before excitement

Every story separates confirmed facts, opinion, allegations, humour and unsupported speculation.