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Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls

Fatima Ezzeddine, Omran Ayoub, Silvia Giordano, Gianluca Nogara, Ihab Sbeity +2 morePublished Oct 9, 2023
DOI Publisher
Researcher verdict
Context only
Use as context only
Benchmark evidence
Missing
Not verified yet
Time to first repro
A few days
Plan setup time
Risk flags
2
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Results and benchmarks

Freshness tier: cold
Exposing influence campaigns in the age of LLMs: a behavioral-based AI approach to detecting state-sponsored trolls presents a leverage (statistics) approach for classifier (uml).

Implementation

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Implementation evidence summary
Confidence: low

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Reproduction risks
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Reproduction readiness

Time to first repro: days
Last checked: Aug 24, 2026

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Hardware requirements

  • Expect multi-day setup/compute for meaningful reproduction based on current guidance.

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Research context

19

Citations

50

References

Tasks

Classifier (UML), Realm, Social media, Computer science, Context (archaeology), Replicate, Psychology, Social psychology

Methods

Leverage (statistics), Language model

Domains

Artificial intelligence, Machine learning, Computer security

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