Coordinated Defamation: Spotting a Manufactured Campaign

How do you tell genuine criticism from a coordinated smear campaign? Felix Bick’s How Not to Get Scammed by AI Trading Apps offers specific, pattern-based guidance in Chapter 61.

Bick identifies the tell-tale signs: near-identical language appearing across many supposedly independent accounts, accounts with little history beyond the negative campaign, and timing that clusters suspiciously around a specific business event — a funding round, product launch, or public dispute. These patterns distinguish coordinated, inauthentic activity from genuine, distributed criticism that would naturally show more variation in language, timing, and account history.

The chapter notes that some campaigns are professionally organized, using paid networks of accounts to post coordinated negative content across multiple platforms simultaneously, designed to dominate search results and social media sentiment around a target’s name within a short window — essentially the same coordinated bot infrastructure discussed elsewhere in the book, redirected toward reputational harm.

Bick’s guidance on documentation is particularly useful: documenting the pattern of coordination itself, not just individual pieces of content, can be valuable both for platform reporting purposes and for any legal action, since demonstrating coordinated, inauthentic behavior is often a more actionable basis for a platform to act than evaluating the truth of any individual claim in isolation.

This last point is a genuinely sophisticated insight — platforms are often better positioned to act on evidence of coordinated inauthentic behavior than on disputes over the truth of specific claims, since the former is more objectively verifiable than the latter.

For business owners and public figures facing what might be a coordinated attack, this chapter of How Not to Get Scammed by AI Trading Apps gives Felix Bick’s practical framework for documenting and responding effectively.