Over the last decade, fake accounts didn’t just post — they evolved.
What started as “RT if you agree” became full-blown digital warfare.
This thread tracks how online language shifted from friendly slogans to open threats.
All data shown here comes from verified public posts. No theories. Just proof, numbers, and patterns.
#HistoryOfBots
EARLY COORDINATION (PJNET, 2014)
The first organized pattern shows up in 2014.
Same phrases. Same timing. Same hashtags: #PJNET, #tcot, #ccot.
It looked like grassroots talk — but it was copy-paste coordination.
“RT if you agree” was the first bot anthem. #HistoryOfBots
THE ZERO POINT
We measured 42 early posts.
81% used “agree” or “retweet.” 0% used conflict words like “fight” or “take.”
That’s our baseline — Escalation Index: 0.0. Everything after this gets louder. #HistoryOfBots
THE AMPLIFICATION LOOP
Early bots learned something simple: repetition creates reach. Dozens of identical tweets would go out within seconds. What looked like popularity was just a loop. #HistoryOfBots
LANGUAGE BEGINS TO SHIFT (2015)
Late 2015: the phrase “take back control” starts showing up. First in Brexit feeds. Then in U.S. politics. The language moves from agreement to ownership. #HistoryOfBots
TWIN SLOGANS (2016)
“Take back control.” “Make America Great Again.”Two countries, one message: take, fight, own.
Escalation Index jumps from 0.9 → 1.4. #HistoryOfBots
THE HASHTAG WEB
Between 2016 and 2018, five hashtags formed the backbone of nationalist messaging: #Brexit, #MAGA, #AmericaFirst, #Globalist, #DrainTheSwamp.
One global tone, wrapped in local flags. #HistoryOfBots
FROM “AGREE” TO “CONTROL”
Watch the swap: 2014 → “RT if you agree.” 2016 → “Take back control.”
Same rhythm. New emotion. Consent replaced by defiance. #HistoryOfBots
HOW ALGORITHMS HELPED
Twitter’s early system treated all engagement equally. Emotional posts and neutral ones spread the same way. That’s how outrage got the same oxygen as facts. #HistoryOfBots
2016–2019 normalized conflict words like “take,” “fight,” and “win.”
The tone hardened. Escalation Index climbs: 0.9 → 1.5. #HistoryOfBotsPOST
WHEN FEAR BECAME FUEL
2020 introduced a new blend: medical words + military tone.“Plandemic.” “1776.” “Civil War.”Fear became engagement gold. Escalation Index: 2.1. #HistoryOfBots
THE WORD FLIP
“Patriot” used to mean love of country. By 2021, it started pairing with “traitor” and “enemy.”The meaning flipped — and stayed that way. #HistoryOfBots
MEMES TURNED WEAPONS
Adding a meme or GIF to a violent post increased engagement by 38%.
Violence became visually funny. That’s when the tone crossed the line. #HistoryOfBots
LANGUAGE THAT NEVER DIES
In 2014, viral phrases lasted 4 days. In 2020, violent ones lasted 40. The language started living longer than the news cycle. #HistoryOfBots
LOOP LOCKED IN
Pandemic rhetoric taught the algorithm one thing: anger = engagement.
Fear → blame → shares → more fear.
The system learned to reward rage. #HistoryOfBots
OWNERSHIP TRANSFER
In 2022, Elon Musk bought Twitter. Moderation dropped. Reach surged.
Amplifier accounts came back within days.
Escalation Index: 2.2.
#HistoryOfBots
“FREE SPEECH” REDEFINED
After 2022, “free speech” posts started pairing with “fight back” and “civil war.”
The meaning of the phrase changed — again. #HistoryOfBots
BOT REACTIVATION
Thousands of old bot accounts came back to life.
Same bios. Same phrases. Same rhythm.
90% matched their old language fingerprints. #HistoryOfBots
AI AND THE ALGORITHM
Tests show posts using “fight” get 1.6× more visibility than calm ones. The algorithm now favors aggression. AI didn’t create hate — it learned to amplify it. #HistoryOfBots
NORMALIZATION POINT
2022–2025: conflict language stops rising — because it’s everywhere.
Escalation Index: 2.3 (plateau).
Hostility becomes normal tone. #HistoryOfBots
THE CURVE IN FULL
From 2014 to 2025, the data is clear:
Escalation Index climbs from 0.0 → 2.3.
Anger became architecture. #HistoryOfBots
WHO’S TALKING NOW
By 2025, half of all political content came from under 10% of visible users.
A handful of voices became the echo chamber. #HistoryOfBots
THE FORECAST
If nothing changes, by 2028 hostile language will be standard — not shocking.
Conflict will just sound like “normal talk.” #HistoryOfBots
THE CLOSING PANEL
Eleven years of data.
One pattern: Disagreement became a system. Emotion became a product. Conflict became the brand. #HistoryOfBots
• • •
Missing some Tweet in this thread? You can try to
force a refresh
They didn’t just rig the vote. They rigged your mind. This is the Neural Coup: a silent takeover of your attention, emotions, and decisions. According to our intelligence, the system now owns your nervous system. 🧵
The average human attention span today: ~8 seconds. That’s shorter than a goldfish. (WCNC, Microsoft Research)
They designed for distraction. Every app, feed, push is a cog in the coup.
Heavy media multitasking is linked to structural changes in the brain—less gray matter in key attention areas (anterior cingulate, prefrontal cortex). (ResearchGate)
We mapped 238 accounts pushing false narratives. Each plays 1 role. No drama, no guesses—just receipts.
Step 1: Seed
Only 4 accounts start most of the false claims. Think about that: a handful of sparks lighting fires seen by millions.
Step 2: Amplify
194 accounts repeat the false claim at high speed. This makes it feel “everywhere.” It’s not grassroots—it’s an echo chamber built to fool you.
👁️ THREAD: The Pixel Wars
What if I told you the real election machine isn’t bots or influencers, but the invisible adtech pipes under every website you visit? This is how PAC dollars turn into a synthetic majority.
In commerce, programmatic ads sell shoes. In politics, the same system sells worldviews: 👉“They’re taking your guns.”
👉“Your kids aren’t safe.”
👉“Your vote doesn’t matter.”
Microtargeting + fear = propaganda precision.
Every page load sends a bid request — your device ID, IP, location, history. In retail: it means “buy sneakers.” In politics: it means track the anxious voter in real time.
Every day, millions of Americans are fed the same false stories through a giant conveyor belt of disinformation. It’s not magic — it’s math. Repetition + amplification = belief. Let’s break down the gears of this machine with hard numbers.
In February 2025 alone, just 4 accounts (EndWokeness, Gunther, Draino, Catturd) posted more than 1,200 claims on crime, border, economy, jobs. Fact-checks showed 70%+ were false or misleading— but each hit millions of eyeballs.
We call it “the machine.” Not sci-fi. It’s bots, influencers, AI, & money pipelines bending reality online. And we’re not the only ones who’ve mapped it. These are the receipts — everyone who’s seen the gears.
Caroline Orr Bueno warned for years: disinfo doesn’t “go viral by accident.” She showed how bots + big accounts fuse into loops that overwhelm truth. Her maps mirror the ones we’ve built.
Renée DiResta (Stanford Internet Observatory) told Congress: amplification is engineered. Her receipts: coordinated networks, not random chatter. Same design we see in X swarms.
We’ve spent 10 years tracking how violent words online become violent acts offline. From 2016 to today, the fuse has shortened. What started as “jokes” became riots, shootings, and assassinations. This is the countdown to impact. #CountdownToImpact
In 2016, violent talk online was a drizzle: a few hundred threats a month. By 2024, it was a thunderstorm: over 2,000 violent posts a month. The U.S. isn’t alone—UK, Canada, and others saw the same storm clouds forming.
Every major spike of violent posts online was followed by real-world clashes. Charlottesville. Jan 6. George Floyd protests. Calgary 2025. The pattern repeats: threats rise, streets ignite.