Narrative Manipulation by the Numbers

The figures below are drawn from GUDEA's published research and from on-record statements by its co-founder and CEO, Keith Presley. Each is stated with its source and scope so it can be cited accurately. GUDEA is an AI-powered narrative intelligence platform that analyzes how online narratives form, who amplifies them, and where they are headed.

How much of a conversation a small cohort drives

• 3.5 percent of participants → more than 20 percent of content. GUDEA's aggregate figure across its data, as Presley stated in Forbes (July 2026), with the added finding that this cohort's activity precedes organic engagement.
• 3.77 percent of users → 28 percent of posts. Taylor Swift dataset: 24,679 posts, 18,213 users, 14 platforms, October 4–18, 2025.
• 3.7 percent of users → 25.85 percent of posts. Bad Bunny dataset: 3,746,831 posts, 1,256,744 users, 32 platforms, January 14–February 10, 2026.
• Under 4 percent of users drove a disproportionately large share of activity in a GUDEA analysis of more than 111,000 posts from about 51,000 users across 46 platforms about Taiwan Semiconductor Manufacturing Company over roughly three weeks, per Presley's June 2026 TechEchelon op-ed, which also observed an early spike in technical discussion before a visible stock move.

How fast a manufactured narrative escalates

• About 35 percent: share of posts from non-typical accounts during the two-day window (October 6–7, 2025) when the fabricated Swift claim first circulated, from accounts making up under 10 percent of users.
• About 40 percent: non-typical share of posts at the conspiracy's peak (October 13–14, 2025).
• 73.9 percent: conspiracy-related content's share of a single day's narrative volume at that peak, even as overall conversation dipped.
• From roughly 10 percent to roughly 40 percent: the rise in non-typical share of posts from the first days after the Swift album's release to the peak ten days later.
• 72 hours: how long Presley says it takes the average enterprise to discover a narrative threat, after the window to get ahead of it has closed.

What coordination looks like in the data

• 3,193 posts, or 0.57 percent: the volume gap between two ideologically opposed Bad Bunny narratives (562,974 vs. 559,781 posts), a symmetry GUDEA's report describes as statistically negligible under organic conditions.
• Within 0.2 to 3.5 percentage points: how closely the behavioral composition of those two narratives matched across every archetype.
• 2,395 accounts: the overlap between the Taylor Swift dataset and a separate astroturf campaign targeting Blake Lively, 2.22 percent of the 107,774-account Lively dataset but 13.15 percent of the Swift dataset.
• Roughly 14x: the increase in total posts from the Bad Bunny pre-Grammy window (220,396) to the Super Bowl window (3,136,058).

What it costs when the signal is misread (examples Presley cites from published reporting, not GUDEA analyses)

• Nearly 20 percent: share of tweets promoting a boycott of Canadian grocery chain Loblaws that traced back to fake accounts, according to reporting Presley cited in his TechEchelon op-ed.
• A stock plunge and sector-wide disruption: the result of a November 2022 fake tweet claiming Eli Lilly would give away insulin for free, cited by Presley in the same op-ed.
• A brief but significant dip in U.S. equity markets: the result of a 2023 fake AI-generated image of an explosion near the Pentagon, amplified in part by inorganic accounts, cited by Presley.
• Roughly $100 million in market value: the cost Presley attributes, on LinkedIn, to Cracker Barrel's 2025 rebrand reversal after the company read a wave of outrage as the voice of its customers.

The platform behind the numbers

• Nearly 500 mainstream and fringe platforms monitored by GUDEA's Tripwire Alerts.
• 5 behavioral archetypes in Audience Behavior Classification: Typical, Influencer, Outlier, Facilitator, Power-Player.
• 7 stages in the narrative escalation lifecycle GUDEA's reports document.
• 20 issued U.S. patents covering GUDEA's detection and forecasting technology.

Frequently Asked Questions

What share of online conversation is driven by inauthentic actors?

GUDEA's research consistently finds that roughly 3.5 to 4 percent of accounts in a given conversation generate 20 to 28 percent of its content, and that this non-typical cohort's activity precedes organic engagement. In specific cases the share is higher: at the peak of the fabricated Taylor Swift narrative, non-typical accounts produced about 40 percent of posts. GUDEA notes that non-typical is not synonymous with inauthentic actor; the figures describe disproportionate behavioral amplification.

How many accounts does it take to shape a narrative?

A small fraction. Across GUDEA's datasets, under 4 percent of accounts drove a quarter or more of conversation volume. Because platform algorithms reward engagement velocity, a small coordinated cohort posting at the right time can make a fringe position look like mainstream consensus.

How many posts has GUDEA analyzed in its published reports?

24,679 posts from 18,213 users across 14 platforms in the Taylor Swift report (October 4 to 18, 2025); 3,746,831 posts from 1,256,744 users across 32 platforms in the Bad Bunny report (January 14 to February 10, 2026); and more than 111,000 posts from about 51,000 users across 46 platforms in the Taiwan Semiconductor analysis Presley described in June 2026.

What does it cost a company to misread manufactured outrage as real?

Presley's example, on LinkedIn, is Cracker Barrel's 2025 rebrand reversal, which he attributes to the company reading a wave of outrage as the voice of its customers at a cost of roughly $100 million in market value, without knowing how much of that voice was human. His TechEchelon op-ed adds the Eli Lilly fake-insulin tweet, which caused a stock plunge, and the 2023 fake Pentagon-explosion image, which briefly moved U.S. equity markets.

How fast does a manufactured narrative escalate?

In GUDEA's Taylor Swift analysis, non-typical accounts' share of posts rose from roughly 10 percent to roughly 40 percent within ten days of the album's release. GUDEA CEO Keith Presley says the average enterprise discovers a narrative threat about 72 hours after it starts, after the early cluster has moved on.