How real people are using services like Fuelgram to turn their Instagram accounts into bots in order to game the site's algorithm by trading likes and comments
Verified accounts turning themselves into bots, millions of fake likes and comments, a dirty world of engagement trading inside Telegram groups. Tweets: @buzzfeednews , @fabiochiusi , @swiftonsecurity , @swiftonsecurity , and @kantrowitz Tweets: @buzzfeednews : Verified accounts turning themselves into bots. Millions of fake likes and comments. A dirty world of engagement trading inside Telegram groups. Welcome to the secret underbelly of Instagram. http://www.buzzfeed.com/... Fabio Chiusi / @fabiochiusi : “The engagement is fundamentally manipulated; the content you're seeing, you're seeing because someone gamed an algorithm; the products people are pushing to you are inauthentic and most of the comments under them are fake” http://twitter.com/... @swiftonsecurity : “The best minds of our generation are being hired by Facebook to drive clicks.” What if they're not. What if they're morally plastic fools who can't run anything correctly who happen to work on a self-perpetuating gravy train they get to take credit for. http://www.buzzfeed.com/... @swiftonsecurity : Ad networks and Facebook advertising are a total scam moneypit and nobody cares because they're skimming off people who don't care either as long as it looks like they're doing something, part 746,969 http://www.buzzfeed.com/... http://twitter.com/... Alex Kantrowitz / @kantrowitz : New from me: A story about real people — doctors, lawyers, verified models, fitness coaches, influencers, and more — handing their Instagram account credentials over to third party software services that turn their accounts into bots. http://www.buzzfeed.com/...
Context & Ripple Effects
BuzzFeed's investigation pulls back the curtain on engagement trading on Instagram: verified users — doctors, models, influencers — hand their credentials to services like Fuelgram, which convert the accounts into bots that swap likes and comments inside Telegram groups. The coordination layer matters as much as the bots themselves; Telegram is where millions of fake interactions get routed.
This sits at the start of a documented arc: a later [[a:937604|TechCrunch investigation found Instagram itself hosting ads for fake-follower and notification-spam services]], and by 2021 Rest of World reported Latin American Facebook users self-compromising accounts through autoliker sites — the same self-inflicted bot-farm pattern, three years on.
First-order effects
- Verified account holders who join these pods get short-term algorithmic reach but surrender control of their accounts, which now post likes and comments they never authored.
- Instagram's ranking signals are directly polluted: what Fabio Chiusi calls fundamentally manipulated engagement means brands and other users are reading bot activity as genuine popularity.
Second-order effects
- Advertisers and sponsors buying influencer reach face inflated metrics, pushing due-diligence costs onto anyone paying for placement — while the same platform carries ads selling the manipulation, as TechCrunch later found.
- Credential-sharing for engagement pods widens the attack surface: The Atlantic's reporting on hackers phishing influencers with fake sponsored deals shows stolen-account schemes feeding on exactly this habit of handing over access.
Third-order effects
- If self-compromised accounts keep scaling — from Fuelgram pods to autoliker bot farms to FewFeed-style AI-slop networks — platforms' engagement metrics become unreliable infrastructure, forcing verification and authenticity checks into the core product rather than periodic purges.
- Messaging layers like Telegram and WhatsApp harden into coordination infrastructure for manipulation economies, making enforcement a cross-platform problem no single feed algorithm can solve alone.
The trend: Engagement manipulation is evolving from niche like-trading pods into a persistent cross-platform economy of self-compromised accounts and bot farms that erodes the meaning of platform metrics.