🚀 The Code of Power – Why They Hate Elon Musk🔥 Free on Amazon – ONLY this weekend!

jan-philippvieth (64)in #deutsch • 3 days ago (edited)

Hey Steemians, heute habe ich etwas Besonderes für euch. Genau wie auf Substack teile ich hier den ersten Teil meines neuen Buches The Code of Power – Why They Hate Elon Musk. Und weil ich Steemit als eine der wenigen wirklich freien Plattformen sehe, bekommt ihr die Info zuerst: Das Buch ist dieses Wochenende auf Amazon komplett kostenlos.

Viele von euch hier auf Steemit wissen, wie sich algorithmische Unterdrückung anfühlt. Wir haben alle erlebt, wie Mainstream-Plattformen Narrative pushen, Stimmen runterdrücken und unliebsame Fakten verschwinden lassen. Genau darum geht es in meinem neuen Buch — und darum passt dieser erste Teil perfekt zu dieser Community. Es ist jedoch komplett auf Englisch geschrieben. Die Deutsche Version liegt noch bei einem Verlag, ist aber auch keine direkte Kopie bzw Übersetzung! In der Deutchen Fassung handelt es dann mehr über HateAid, Correctiv und die Antonius Amadeus Stiftung, was für das englischsprache Publikum ehr uninteressant ist.

🔥 Free on Amazon – ONLY this weekend!

Heute teile ich auf Steemit – genau wie auf Substack – den ersten Teil meines neuen Buches The Code of Power – Why They Hate Elon Musk. Die vollständige Version ist dieses Wochenende komplett kostenlos auf Amazon erhältlich.

👉 Download it for FREE (limited time):
https://www.amazon.de/dp/B0G5L1NFHD

📘 Part 1: Introduction & The Twitter Files

Introduction: The Billionaire Who Broke the System

It was a quiet Tuesday in October 2022 when Elon Musk finalized his purchase of Twitter. No press frenzy, no Hollywood-style spectacle — just a signature on a contract. Yet, within hours, the world of tech and politics braced itself for a storm. Not because Musk wanted to run the company differently, but because he had unwittingly opened a door into the hidden machinery of control.

For years, social media users believed in the organic nature of the internet. Trending topics, viral posts, and breaking news seemed to reflect public sentiment. The reality, as the Twitter Files revealed, was far more engineered. Federal agencies, private think tanks, NGOs, and corporate partners had quietly constructed a network that could amplify preferred narratives, suppress dissent, and shape public perception on a massive scale.

Musk didn’t just buy a platform. He bought a truth machine — one capable of exposing the unspoken rules of modern digital power. And for the first time, Americans — and soon Europeans — could see how narratives are manufactured, how censorship operates, and who really pulls the levers.

This book is the story of that revelation: why they hate Elon Musk — not for ego, but because he showed the world how the system really works.

Chapter 1: The Day the Mask Slipped

The Twitter Files were not casual leaks — they were a window into a deeply orchestrated system of control. Emails, internal memos, Slack messages, and policy tickets painted a clear picture: content on the platform was not neutral. Every downrank, every removal, every “sensitive content” label was the product of coordination between government actors, corporate engineers, and private NGOs.

The FBI and the Department of Homeland Security were deeply involved. Documents showed agents flagging specific accounts, tweets, and hashtags for review. Some were labeled as “misinformation,” others as “national security threats,” and some were simply inconvenient to prevailing political narratives.

Meanwhile, private organizations acted as force multipliers. The Atlantic Council supplied strategic guidance to platforms, advising which narratives should be suppressed or promoted. GARM — the Global Alliance for Responsible Media — coordinated industry-wide moderation policies, effectively creating a shared censorship infrastructure. The Global Disinformation Index (GDI) maintained databases of “unreliable” sources, influencing not just Twitter, but other platforms and even ad networks.

What shocked many Americans was the scale and systematic nature of these operations. This was not a one-off incident or a rogue employee. It was a well-funded, multi-layered network designed to shape discourse at the national level. And then Musk arrived.

When he began reviewing internal content, he found a system far more invasive and coordinated than previously suspected. Emails instructed moderators to suppress stories favorable to certain political actors. Lists of accounts were prepared for downranking. Memos detailed how to manipulate trending topics. The mask had slipped.

A Deep Dive: How the Requests Worked

One internal ticket instructed moderators to reduce the visibility of a post from a political journalist due to “risk of amplifying disinformation.” Later review showed that the claim was ambiguous at best.

Another memo from the DHS highlighted hashtags deemed “dangerous,” with orders to “limit amplification and track engagement.” Employees understood these requests were high priority. Non-compliance was not an option.

Private organizations supplied the criteria and moral justification. GDI’s risk databases directly affected algorithmic visibility. A “high-risk” rating often meant digital burial. The Atlantic Council provided daily narrative briefings, influencing removals and suppression in real time.

This created a multi-layered censorship apparatus where government, corporations, and NGOs blended seamlessly.

Chapter 2: The New Censors

While government involvement drew headlines, the true power lay in transnational private actors — subtle, unaccountable, and increasingly global.

The Atlantic Council acted as a shadow regulator, advising platforms on narrative management under the banner of “fighting disinformation.” But its advice consistently aligned with geopolitical and economic objectives.

GARM built an industry-wide compliance system. By coordinating advertisers, platforms, and media companies, it created an environment where controversial content was both algorithmically suppressed and financially punished.

The Global Disinformation Index maintained independent ratings that influenced search engines, social networks, and even monetization systems. These groups were not accountable to voters — yet they functioned as gatekeepers of public discourse.

Europe mirrored the model. Groups like Correctiv or HateAid show how deeply this system has expanded. Private, government-funded NGOs increasingly act as arbiters of truth — and many of these mechanisms are now being exported back toward the United States.

The combined effect created a digital ecosystem of managed visibility. It wasn’t openly coordinated — and didn’t need to be. The system worked.

And then Elon Musk exposed it.