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Sealioning

Also Known As: Concern Trolling Light Bad Faith Questioning Persistent Interrogation
Manipulation & Propaganda ☠️ Toxic Discourse ID: sealioning

Definition

Sealioning is a form of trolling disguised as civil discourse, where the sealioner repeatedly and persistently demands evidence, explanations, or justifications for positions that are well-established or have already been addressed. The surface-level politeness masks bad faith: the goal is not to learn but to exhaust the target, waste their time, and make them appear unreasonable when they eventually refuse to engage further.

Examples

After someone posts about racial discrimination in hiring, a commenter responds: 'I'm just genuinely curious — could you provide evidence for that? And when you say discrimination, what exactly do you mean? Could you define it precisely? And could you share the specific studies? Have those studies been replicated? I'm just trying to understand, I really am.'

A woman tweets that she feels unsafe walking home alone at night because of street harassment. A stranger replies: 'Can you define what you mean by harassment? Do you have statistics on how often this occurs? What's your methodology for determining intent? I'm not dismissing you, I just want to understand the data before forming an opinion.' No matter how she responds, he follows up with another layer of questions.

In a workplace Slack channel, an employee mentions that the office culture can feel exclusionary to introverts. A colleague immediately replies: 'Interesting claim — what's your evidence for that? Could you share specific examples? How are you defining exclusionary? Have you surveyed other introverts? I just want to have a productive conversation.' The original employee spends the rest of the day defending a casual observation rather than having any real dialogue.

Verification Steps
Verification Steps
Binary yes/no questions that an AI must answer to detect a reasoning pattern in a text.
Each of the 452 aspects has verification steps — simple yes/no questions designed to systematically detect whether a pattern appears in a text. For ad hominem: "Does the argument attack a person rather than their claim?" For false dichotomy: "Are only two options presented when more exist?" This ensures consistent, reproducible analysis.

Binary (yes/no) questions an LLM must answer to identify this aspect:

  1. 1

    Does the questioner repeatedly demand evidence for basic or already-addressed points?

    Type: binary
  2. 2

    Does the questioner maintain a surface-level politeness while being persistently disruptive?

    Type: binary
  3. 3

    Does the pattern of questioning seem designed to exhaust rather than genuinely learn?

    Type: binary
Deep Dive
The expandable detail section on each aspect page with examples, psychology, and counter-strategies.
The Deep Dive section provides in-depth information about each aspect: a real-world example showing the pattern in action, an explanation of why it works psychologically, practical advice on how to counter it, alternative names, and links to related aspects.