Sockpuppeting
What it is
Operating multiple fake online identities to create the illusion of grassroots support, consensus, or independent agreement.
How it works
Real-world examples
- •Authors reviewing their own books under fake names on Amazon.
- •Companies creating fake customer accounts to post positive reviews and attack competitors.
- •Political operatives running networks of fake local personas to simulate community support.
Ethical guidelines
- ●Misrepresenting the number of people who hold an opinion is fundamental deception.
- ●Sockpuppeting corrodes trust in all online discourse by making genuine consensus indistinguishable from manufactured consensus.
- ●Platforms should aggressively detect and remove coordinated inauthentic accounts.
How to defend against it
- ►Look for suspiciously similar language, creation dates, and posting patterns across accounts.
- ►Be skeptical when multiple "different people" express the same opinion in the same way.
- ►Check account histories — sockpuppets often have thin histories focused on a single topic.
From the Defense Playbook
Upload or paste an image (or a video frame) into an image search engine to find where else and when it has appeared, which exposes recycled photos, stolen profile pictures, and images given a false caption.
Before taking an online account's word, or taking a crowd of accounts as public opinion, spend a minute on the profile itself: its age, history, posting rhythm, network, and photo, which together show whether you are looking at a person, a persona, or a coordinated operation.
When a "grassroots" campaign, citizens' coalition, or flood of public comments appears, establish who organized and paid for it and make that public, because manufactured support loses most of its force once the audience knows it is manufactured.
Ask whether you would be comfortable seeing the tactic, including how it works and why you chose it, described accurately on the front page of a newspaper read by your audience; if the tactic only works when the audience does not know about it, treat that as a finding.
Before publishing sponsored, affiliated, incentivized, or endorsed content, check that every material connection between the speaker and the brand or cause is disclosed clearly, conspicuously, in plain language, and in the same place and format as the claim it qualifies.
Every playbook entry states how strong its evidence is and when not to use it. Browse the full playbook.
DISARM framework
How analysts would file this in the open DISARM framework (v1.6.1, CC BY-SA 4.0). Closest matches, mapped by Persuasion Lab.
References
- Kumar, S., Cheng, J., Leskovec, J., & Subrahmanian, V. S. (2017). An army of me: Sockpuppets in online discussion communities. Proceedings of the 26th International Conference on World Wide Web (WWW 2017), 857–866Empirical study across nine communities: sockpuppets controlled by one user post in the same threads, agree with each other and are used to sway discussion.
- Federal Trade Commission (2024). Trade Regulation Rule on the Use of Consumer Reviews and Testimonials (16 CFR Part 465). Final rule, August 2024Prohibits fake reviews, reviews by insiders without disclosure, and review suppression — the self-review and fake-customer examples in the entry.
- U.S. Senate Select Committee on Intelligence (2019). Report on Russian Active Measures Campaigns and Interference in the 2016 U.S. Election, Volume 2: Russia's Use of Social Media. 116th CongressDocuments fake local personas and pages run by the Internet Research Agency to simulate grassroots American voices — the entry's political example.
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