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INDICATORS REFERENCE

Disinformation Analysis Indicators

Disinformation Analysis covers 200 indicators across 6 manipulation groups. Each signal has a stable slug and code for programmatic access. Representative signals are shown publicly; the complete reference is available to customers.

View Manipulation Groups Features

200

Indicators

6

Manipulation Groups

16

Languages

33

Avg / Group

Overview Manipulation Groups Indicators Features

6 results

Showing 6 representative indicators of 200. The complete taxonomy is available to customers.

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#	Indicator	Slug	code	Manipulation Group
001	misinformation	`misinformation`	`info_fabrication.misinformation`	Info Fabrication
002	decontextualization	`decontextualization`	`rumor_context.decontextualization`	Rumor Context
003	authority impersonation	`authority_impersonation`	`source_evasion.authority_impersonation`	Source Evasion
004	loaded language	`loaded_language`	`influence_persuasion.loaded_language`	Influence Persuasion
005	conspiracy claim	`conspiracy_claim`	`political_conspiracy.conspiracy_claim`	Political Conspiracy
006	coordinated inauthentic behavior	`coordinated_inauthentic_behavior`	`platform_coordination.coordinated_inauthentic_behavior`	Platform Coordination

Browse by Manipulation Group

Alternatively, explore indicators grouped by their parent manipulation group:

1

Info Fabrication

info_fabrication

30 Indicators

The complete signal list for this manipulation group is available to customers. Request access to view it.

2

Rumor Context

rumor_context

30 Indicators

The complete signal list for this manipulation group is available to customers. Request access to view it.

3

Source Evasion

source_evasion

30 Indicators

The complete signal list for this manipulation group is available to customers. Request access to view it.

4

Influence Persuasion

influence_persuasion

50 Indicators

The complete signal list for this manipulation group is available to customers. Request access to view it.

5

Political Conspiracy

political_conspiracy

30 Indicators

The complete signal list for this manipulation group is available to customers. Request access to view it.

6

Platform Coordination

platform_coordination

30 Indicators

The complete signal list for this manipulation group is available to customers. Request access to view it.

Reading Disinformation Analysis output

What you can safely infer from a result - and what you must not.

Intended task

Flag documented manipulation techniques - fake authority, urgency amplification, conspiracy framing - present in a piece of text.

Input requirements

text - the only field analyzed; up to 4,096 Unicode code points. Over the limit is rejected with input_too_long, never truncated.
language - must be a language this analyzer supports. Unsupported codes are rejected with 400 unsupported_language, never analyzed as a different language.
analyzers - include "disinformation"; up to 2 analyzers per request, one billed run each.
No context beyond text - no user IDs, history, profiles, or attachments are read or inferred.
Analyzes the submitted text only - author identity, distribution, and source reputation are not inputs.

Ordinary positive

“They do not want you to see these numbers. Every official source is compromised - share this everywhere before it gets deleted.”

source_authority_manipulation very high

suppression_distraction high

Safe inference: The text uses documented manipulation techniques. Queue it for review or downrank it per your integrity policy.

Confusing negative · Quotation

“The viral post claimed "every official source is compromised" - the audit released today shows the figures are real.”

What happens: Manipulation signals can still fire on the quoted claim. Debunks repeat the language they debunk - a signal marks the presence of a technique's vocabulary, not the author's side of the argument.

Why it's tricky: The analyzer detects techniques in text; it never decides which underlying claim is true. Fact-checkers, researchers, and journalists regularly produce text that matches - that is a routing signal, not an accusation.

What you can safely infer

Which documented manipulation techniques appear in the text.
That the same text on the same pinned configuration replays identically for your research record.

What you must not infer

✕That the author is running an influence operation - technique presence is not attribution.
✕That the underlying claim is true or false - truth adjudication is out of scope.
✕That text with no signals is trustworthy - a missing signal means "not detected," never "clean."

Boundary: Manipulation signals flag techniques in the text - they are not a verdict on which claim is true and not attribution of an operation.

Signal reference Evaluation evidence Understanding signals API reference Evaluate on your data

Using Indicators in API Responses

When you call /v1/analyze, the response includes matched indicators with signal-match scores. Each signal is identified by its code and includes a level field (“category” or “label”). A score expresses signal-match strength under a particular analyzer configuration. It is not a probability that the signal or a downstream action is correct. Validate action thresholds on representative labeled data.

{
    "language": "en",
    "language_source": "declared",
    "signals": [
        {
            "analyzer": "disinformation",
            "code": "manipulation_coordination",
            "label": "Manipulation & Coordination",
            "score": 0.91,
            "level": "category"
        },
        {
            "analyzer": "disinformation",
            "code": "urgency_amplification",
            "label": "Urgency Amplification",
            "score": 0.88,
            "level": "label",
            "parent": "manipulation_coordination"
        }
    ],
    "meta": {
        "analyzers": [
            {
                "name": "disinformation",
                "status": "completed",
                "applicability": "analyzable",
                "assessment": "signals_detected",
                "signal_count": 2,
                "billed": true
            }
        ]
    },
    "usage": {
        "analyzer_runs": 1
    },
    "verification": {
        "configuration": "sqcfg_FRA3E88J",
        "fingerprint": "fp_8a72...19f",
        "input_commitment": "ic_31bd...a42",
        "signature": "sig_ed25519_4c1f...e2a",
        "key_id": "edk_af4f218e"
    }
}

Back to Disinformation Analysis Docs View Manipulation Groups

Quickstart Guide

First API call in under 5 minutes

API Reference

Full endpoint documentation

Benchmark Results

Per-language Top-3 Hit Rate

Pricing

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Playground

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Indicator Dictionary

Browse all 200 indicators

Benchmark Methodology

How we measure Top-3 Hit Rate

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