惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

S
Securelist
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
WordPress大学
WordPress大学
博客园 - 聂微东
博客园 - 【当耐特】
小众软件
小众软件
V
V2EX
腾讯CDC
酷 壳 – CoolShell
酷 壳 – CoolShell
月光博客
月光博客
宝玉的分享
宝玉的分享
有赞技术团队
有赞技术团队
人人都是产品经理
人人都是产品经理
N
News and Events Feed by Topic
雷峰网
雷峰网
Hugging Face - Blog
Hugging Face - Blog
量子位
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
The Cloudflare Blog
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
博客园 - 司徒正美
P
Privacy & Cybersecurity Law Blog
The Hacker News
The Hacker News
AI
AI
O
OpenAI News
www.infosecurity-magazine.com
www.infosecurity-magazine.com
T
Threat Research - Cisco Blogs
Jina AI
Jina AI
博客园_首页
罗磊的独立博客
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
Apple Machine Learning Research
Apple Machine Learning Research
Last Week in AI
Last Week in AI
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
IT之家
IT之家
V
Vulnerabilities – Threatpost
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Google Online Security Blog
Google Online Security Blog
G
GRAHAM CLULEY
P
Proofpoint News Feed
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Hacker News: Ask HN
Hacker News: Ask HN
P
Palo Alto Networks Blog
S
SegmentFault 最新的问题
T
The Exploit Database - CXSecurity.com
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
N
News and Events Feed by Topic
V
Visual Studio Blog
博客园 - 叶小钗
阮一峰的网络日志
阮一峰的网络日志

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
Intelligence Brief: The Disinformation Machine
Adrian Alexandru Stinga · 2026-06-17 · via DEV Community

The Disinformation Supply Chain: How Coordinated Influence Campaigns Are Built Before They Go Viral

Article from Digital HUMINT Series, For better understanding read the full report

Right now, somewhere on X/forum people are fighting about a post that feels real raw, emotional, perfectly worded to hit a nerve. It has the right language, the right anger, the right timing. It sounds like someone who thinks exactly the way you do, or exactly the way you hate.

It wasn't written there. It wasn't written today. And the person who wrote it doesn't care about the issue at all.

That post was created two or three days earlier, on a hidden forum or a private chat group, following a set of instructions that described who to target, what emotions to trigger, which platform to use, and how much the job pays. By the time you see it, the operation has already worked. You engaging with it for or against is the whole point.

I've spent almost two decades watching these hidden spaces where online manipulation is planned. What I've learned isn't that fake content exists everyone knows that by now. What most people don't realize is that it works like a factory. There's a production line. There are workers, managers, and paychecks. And just like any factory, if you know where to look, you can see the product being assembled before it ever reaches the shelf.

It Works Like Any Other Business
We talk about "disinformation campaigns" as if they're political movements. Some are. But more and more, what you're actually looking at is a business with four steps, each handled by different people, often in different countries.

Step 1 — Someone writes the plan. A person with a goal and a budget writes a document that says: push this story, target these kinds of people, make them feel this emotion, use this language, post it on these platforms. These plans used to appear on hidden internet forums. Many have moved to private Telegram groups, but the structure hasn't changed since I first saw it in 2014.

Step 2 — Someone hires the workers. Job ads appear on hidden forums looking for people with real-looking social media accounts, willing to post about specific topics, in specific countries, for cryptocurrency payment. These ads are surprisingly open about what the job involves. They list the platform, the country, the topic, how many posts per day, and the pay anywhere from $20 to $200 per post.

Step 3 — The content goes live. Multiple accounts post similar content within a short window, dropping it into the right online communities. This is the moment it becomes visible to the public.

Step 4 — It spreads. Paid accounts boost the content. Automated accounts pile on. And then real people people who genuinely agree with the message start sharing it because it feels true. At that point, the operation runs on its own. The people sharing it have no idea it was manufactured.

The person who wrote the plan, the person who wrote the post, the person who published the post, and the person who shared it are four different people. Often living in four different countries.

The 48 Hours Nobody Is Watching
Here's the part that should bother everyone: the best chance to stop one of these operations is not after the content appears on your feed. It's in the two or three days before it appears while the plan is being written, the workers are being hired, and the content is being prepared.

During that window, the whole operation is visible to anyone watching the right places. The plan exists. The job ads are posted. People are being recruited and paid. The network that will spread the content has been told what's coming. Everything is ready, but nothing has been published yet.

Once that window closes, it's too late for prevention. You're just trying to clean up the mess while more content keeps coming. And that's exactly what most organizations tasked with fighting this problem are doing they're watching social media for fake content after it's already out there. They're looking at the finished product, not the factory.

The job ads alone tell you almost everything you need to know. An ad looking for English-speaking accounts, focused on election-related content, targeting a specific country, paying in cryptocurrency, posted a few weeks before an election that's not hard to interpret. It's a clear warning sign with specific details about what's coming. The challenge isn't understanding what it means. The challenge is that almost nobody is looking at the forum where it was posted.

What I Saw Change Over 12 Years — and What Stayed the Same
I first saw this system in action during the 2014–2015 period, monitoring hidden forums connected to the conflict in Eastern Ukraine. The instructions were crude open messages telling people what to post, where, and to whom. The people posting these instructions didn't think anyone outside their circle was reading them.

What surprised me then, and still surprises me now, is that the basic system hasn't changed in twelve years. The steps are the same. The timing is the same. The logic is the same.

What has changed is the tools. AI now writes content that used to take human writers hours. Cryptocurrency replaced bank transfers, making payments harder to trace. Telegram replaced some of the old forums for planning. TikTok got added to the list of target platforms. The factory is the same it just has better equipment.

The one change that actually makes a difference is that the planning stage has partly moved from open forums to private chat groups. Forums, even hidden ones, can be monitored by anyone who gains access. Private groups are much harder to watch. But the hiring stage — the job ads looking for people to post — still happens on forums, because you need to reach a wide pool of workers. That part of the process is still visible if you know where to look.

What This Means for You
If you're just someone who uses social media which is most of us the takeaway is simple. The content that triggers your strongest reaction, that perfectly matches your frustration or your fear, that sounds like someone finally saying what everyone is thinking that content may have been designed to feel exactly that way. Not by an algorithm. By a person with a plan and a budget, who identified people like you as the target and your specific worry as the way in.

It doesn't mean every post that makes you angry is fake. It means the posts that feel the most perfectly crafted to push your buttons deserve a second look. A pause. A moment of asking: who benefits if I share this right now?

The factory is real. The production line is running. And by the time you're arguing about the product on your timeline, the person who ordered it has already moved on to the next batch.

This short article is part of my Digital HUMINT Series.

This article is based on findings from report OT-045, "The Disinformation Supply Chain," published by Aether Intel (aether-intel.com). The full report includes the complete production-line framework, technical mapping, detection methods, and twelve years of evolution analysis. Available for free at aether-intel.com.