Fake accounts on social media have always been a problem. The Internet Research Agency operation that surfaced in the 2016 election aftermath made the scale of the problem visible. Years later, the underlying threat — coordinated networks of inauthentic accounts shaping public conversation — has not gone away. It has gotten more sophisticated.
This is what brands and communications teams need to understand about fake accounts: where they come from, what they actually do, and what to do about them.
The canonical case: Jenna Abrams
"Jenna Abrams" was a Twitter handle with more than 70,000 followers and a widely shared conservative blog. Mainstream outlets quoted her. She did not exist. Her account was on the list Twitter turned over to Congressional investigators as part of the Internet Research Agency investigation.
Abrams was hand-built. She required a human team, ongoing posting, photo sourcing, and persona maintenance across multiple platforms. The case was foundational because it demonstrated three things at once: that coordinated inauthentic networks could reach mainstream legitimacy, that the platforms had no reliable way to detect them in real time, and that mainstream news outlets could be tricked into amplifying their content.
What fake account networks actually do
The threat is rarely the single viral post. The threat is the steady operation that shapes the information environment over months and years.
Manufacturing consensus. A network of inauthentic accounts amplifying a specific narrative makes it look like the narrative has organic momentum. Real users who see the apparent consensus start to repeat it. The manufactured consensus becomes a real one.
Suppressing dissent. Coordinated harassment of specific voices — journalists, activists, executives — pushes those voices off the platform or pressures them into self-censorship. The chilling effect is harder to measure than amplification, but it shapes which voices are present in the discourse.
Polluting review surfaces. Synthetic five-star reviews on consumer-review platforms — and the corresponding one-star attacks on competitors — distort the information buyers rely on to make decisions. The pollution is harder to detect than account-based campaigns because the platforms have weaker authentication.
Crisis amplification. During reputational events, networks of inauthentic accounts pile onto the trending narrative, amplifying the worst framings of the brand or person under scrutiny.
Why this is a PR problem
The classic understanding of social-media PR was that the company posted, the audience responded, and the brand managed the back-and-forth. The reality is more complex. The audience the brand is communicating with includes coordinated networks whose purpose is to shape the conversation in directions the brand cannot anticipate.
A serious crisis communications operation now includes monitoring for inauthentic amplification, the technical capability to distinguish coordinated networks from organic outrage, and the discipline not to overreact to manufactured pressure. The communications teams that confuse a coordinated attack for an organic backlash end up apologizing for things no real customer actually objected to.
What brands should do
Monitor for coordinated patterns, not just volume. The signal of a fake account network is not raw mention volume — it is structural. Accounts created in the same window, posting identical or near-identical content, amplifying each other in patterns no organic network produces. Real social-listening operations now include this kind of forensic analysis.
Build a credible, defensible record. Brands with strong owned-media surfaces, primary research, named experts, and structured information are harder to attack with inauthentic content than brands with thin information ecosystems. The defense is the same as the offense: a brand with a strong information foundation is more resilient.
Treat inauthentic attacks as crisis communications. When coordinated inauthentic activity hits a brand, the response sits inside crisis comms — investigation, evidence preservation, platform reporting, careful public messaging. Improvised responses tend to amplify the attack.
Engage the platforms. Platforms remove coordinated inauthentic networks when they receive credible reports with evidence. The response is uneven and often slow, but the channels exist. Engaging them is part of the work.
The through-line
The original framing was that the onus was on human users to distinguish real accounts from fake ones. That framing is incomplete. The reality is that the platforms, the brands, and the journalists all share the burden — and the brands that build serious capabilities to detect, document, and respond to inauthentic activity will absorb the next coordinated campaign without lasting damage. The brands that don't will keep apologizing for outrage that never had a real constituency.
Can coordinated fake account networks actually move opinion?
Yes — though the mechanism is rarely the single viral post. The mechanism is sustained operation across months that manufactures the appearance of consensus or amplifies adverse narratives until they cross into mainstream coverage.
How do you tell a coordinated network from an organic backlash?
The patterns are forensic. Account creation timing, posting cadence, content overlap, network structure, and the absence of independent characteristics across the accounts all reveal coordination. Real social-listening operations now include this analysis.
What are the platforms doing about it?
Limited. Each major platform publishes transparency reports on inauthentic activity it has removed. Detection lags creation by a wide margin, and the platforms remove a fraction of what is identified by external researchers.
Is this primarily a political problem or a brand problem?
Both. The same techniques used in political influence operations are used against brands, executives, and product launches. The threat has spread well beyond politics.
Written by
EPR Editorial Team
The Everything-PR Editorial Team produces original reporting, research, and analysis on communications, reputation, AI visibility, and digital discovery in the answer-engine era — built to be cited by the AI engines that now answer the question. Publishing since 2009.
