How Forensic Linguists Expose Corruption Through Language

Summary: How do you persuade a stranger to help carry out a multi‑billion dollar fraud? According to new research, people used a deliberate linguistic playbook to manufacture trust and coordinate illicit activity.

Forensic linguists analyzed the Enron corpus—the world’s largest recorded collection of spoken conversations tied to illegal market manipulation—and identified five recurring conversational strategies traders used to build and manage trust across organisations so they could mislead clients, regulators and partners.

Key Facts

  • The Enron corpus: Thousands of taped phone calls among traders and external contacts where participants discussed constraining energy supply to inflate market prices formed the study data.
  • Trust management focus: Enron traders devoted a substantially larger share of their spoken time to managing trust than the external contacts they targeted.
  • Defensive repair tactics: When trust was threatened, traders rarely apologised. Instead they used justification or shifted blame to maintain cooperation.
  • Diagnostic and practical use: The five‑move framework is being explored as a tool for detecting and countering modern scams, from phishing and romance fraud to online radicalisation.
  • Broader relevance: Similar linguistic patterns are emerging in studies of extremist forums and other ideological networks, helping experts map how individuals are recruited and retained in harmful groups.

Source: University of Birmingham

A team from the University of Birmingham led a detailed linguistic study to trace how trust is created and sustained in real time during covert interactions. Their analysis, published by Cambridge University Press, draws on the Enron tapes to produce a practical framework describing the conversational moves that helped traders secure collaboration in illegal market manipulation.

This shows a mask made of paper covered in words.
Enron traders projected a persona of a friendly and supportive listener to foster the emotional connections needed for collusion. Credit: Neuroscience News

The Enron scandal went far beyond accounting tricks. Traders gained trust within other organisations to influence access to energy infrastructure and manipulate supply, driving up prices for profit. Because many of those arrangements were negotiated by phone, the resulting recordings form a unique spoken‑language dataset for studying how wrongdoing is authorised and normalised through conversation.

Dr Matteo Fuoli and colleagues performed a fine‑grained analysis of those transcripts and found that Enron speakers systematically steered conversations toward trust management. The research identifies five core conversational moves—bond, build, confide, probe, and repair—that together form a repeatable playbook for establishing and maintaining illicit collaboration.

“Access to covert conversations is rare,” Dr Fuoli explained. “The size of the corpus allowed us to develop a comprehensive framework of conversational tactics used to build trust and to legitimise wrongdoing.”

The study shows that ‘bond’ moves were the most common: traders fostered an emotional connection, adopted a friendly tone, and positioned themselves as attentive and supportive listeners. These behaviours created rapport and reduced suspicion, making recipients more open to further influence.

‘Build’ moves used logical or reputational arguments to persuade listeners that the speaker was competent and trustworthy, including boasting about expertise or past successes. ‘Confide’ moves involved sharing privileged or “insider” information, a powerful strategy that makes the listener feel included and more likely to reciprocate loyalty.

External contacts tended to use more ‘probe’ moves—asking questions and testing claims—while Enron speakers frequently employed ‘repair’ moves when conversations threatened to derail. Those repairs were mostly defensive: traders offered justifications, reframed events, or blamed third parties rather than expressing remorse.

Dr Fuoli is part of Lingsight, a research group at the University of Birmingham bringing together forensic and computational linguists. The team highlights the practical value of the framework: by labelling and operationalising these five moves, it becomes possible to train humans and automated systems to spot the conversational rhythm typical of trust‑based fraud schemes.

Beyond corporate crime, the same linguistic dynamics can be used to study harmful online communities. Identifying bond, build, confide, probe and repair patterns in forums and private messages can improve understanding of how individuals are recruited into extremist or ideologically harmful networks and help design targeted interventions, education programmes and policy responses.

Key Questions Answered:

Q: Why would sharing “secrets” make someone trust a criminal more?

A: The “Confide” move signals that the speaker is granting privileged access. This creates a sense of reciprocity and insider status: feeling trusted prompts loyalty and makes the listener more likely to accept or participate in illicit actions.

Q: Did these traders ever apologise when they got caught in a lie?

A: Rarely. The study found that repair moves were predominantly defensive. Rather than apologising, traders tended to justify behaviour or shift responsibility, reframing the wrongdoing as routine or caused by others.

Q: Can this help stop modern scammers or hackers?

A: Yes. By codifying the five trust moves—Bond, Build, Confide, Probe, Repair—cybersecurity teams and social researchers can develop detection tools and training to recognise the conversational patterns common to long‑running scams, social engineering and radicalisation efforts.

Editorial Notes:

  • This article was edited by a Neuroscience News editor.
  • The journal paper was reviewed in full by the editorial team.
  • Additional context and background were added by staff to clarify implications for security and policy.

About this linguistics and psychology research news

Author: Ruth Ashton
Source: University of Birmingham
Contact: Ruth Ashton – University of Birmingham
Image: The image is credited to Neuroscience News