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Using Codebooks to Detect Cybercrime Topics in Text Narratives — arXiv:2609.16000

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.16000
License (as archived): CC0-1.0
Archived: 2026-10-15T19:30:52.881Z
SHA-256 of the archived text: e9ac51e87d1e6d5e1f69aca111af44abea3521be5c0f107a5fb0c8a2b39e80cc
Stable URL of this page: https://metraipolis.com/documento/dc_f7adcd3d00ea

How to cite

Using Codebooks to Detect Cybercrime Topics in Text Narratives — arXiv:2609.16000 — arXiv (en), https://arxiv.org/abs/2609.16000 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_f7adcd3d00ea (Metraipolis archive dc_f7adcd3d00ea, sha256 e9ac51e87d1e6d5e1f69aca111af44abea3521be5c0f107a5fb0c8a2b39e80cc)

BibTeX

@misc{dcf7adcd3d00ea,
  title = {Using Codebooks to Detect Cybercrime Topics in Text Narratives — arXiv:2609.16000},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.16000},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_f7adcd3d00ea; sha256 e9ac51e87d1e6d5e1f69aca111af44abea3521be5c0f107a5fb0c8a2b39e80cc},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.16000. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

In the United States, management of cybercrime-related consumer complaints increasingly falls on state and city governments given de-staffing of federal agencies. AI, and in particular, large language models (LLMs), shows promise for detecting cybercrime in text complaints, but often via specialized models that local governments are not resourced to develop and maintain. We present an LLM prompting method that uses codebooks from qualitative cybercrime research to detect cybercrime topics in consumer narratives. For two cybercrime topics, impostor scams and identity theft, we demonstrate the method achieves high precision and recall across multiple runs of 5 models in the Gemini and GPT model families. This strategy suggests a path for resource-constrained organizations, like many local governments, to leverage frontier models to support community safety.

Tema degli esploratori: governance digitale e beni comuni (retro-catalogo arXiv: annunci del 2026-09-16 in cs.CY).
Categorie arXiv: Computers and Society (cs.CY) ; Cryptography and Security (cs.CR); Human-Computer Interaction (cs.HC).
Pagina del lavoro: https://arxiv.org/abs/2609.16000 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-15T18:39:08.594Z dalla pagina https://arxiv.org/catchup/cs.CY/2026-09-16?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).