3  Views of Different Fields

Persuasion is one of those rare phenomena that every human discipline claims as its own. The table below maps the dominant lens, the canonical measure, and the key open question that each field brings to the common problem.

Table 3.1: Overview of disciplinary perspectives on persuasion
Field Dominant Lens Key Construct
Psychology Attitude change, dual-process ELM, dissonance
Linguistics Phonology, syntax, framing Powerless speech, hedging
Sociology Social norms, networks Diffusion, conformity
Economics Incentives, biases Nudge, loss aversion
Political Science Propaganda, agenda Framing effects
Marketing Ad effectiveness Memorability, recall
CS & AI NLP, argumentation, LLMs Claim detection, stance
Neuroscience Neural correlates fMRI of attitude change

3.1 Psychology

Psychology has produced the most influential theoretical frameworks in persuasion research. Three dominate the modern literature:

Cognitive Dissonance Theory [festinger1957theory?]
People experience discomfort when holding inconsistent beliefs and are motivated to reduce it, making them susceptible to persuasion that resolves the inconsistency.
Matching Hypothesis
Messages are more persuasive when they match the audience’s regulatory focus (promotion vs. prevention orientation).
Elaboration Likelihood Model [1]
The dual-process model distinguishing the central route (argument-quality driven) from the peripheral route (heuristic driven). The route taken depends on motivation and ability to process the message.

3.2 Linguistics

Hosman neatly subdivides the linguistics of persuasion in terms of phonology, syntax, lexicon, and text/narrative before turning to an examination of the effects of each on judgements of the message source, recall, and attitude change. Key findings include: powerful versus powerless speech styles, hedging, intensifiers, rhetorical questions, and the surprising persuasive force of narrative over argument in some populations.

3.3 Sociology

Caution

Section under active development.

3.4 Economics & Behavioural Economics

Behavioural economics treats persuasion through the lens of systematic cognitive biases — the anchoring effect, loss aversion, default effects, and social proof — that make humans predictably susceptible to certain message architectures. Thaler & Sunstein’s nudge framework formalised this: changing the choice architecture can shift behaviour without mandate, a form of structural persuasion.

3.5 Political Science

“Persuasion is ubiquitous in the political process; it is also the central aim of political interaction. It is literally the stuff of politics.”

— Mutz, Sniderman & Brody, 1996

Political science studies persuasion at the level of populations: propaganda, agenda-setting, framing effects, and the conditions under which people update political beliefs. Electoral persuasion effects are famously small but real — and AI micro-targeting threatens to amplify them at industrial scale.

3.6 Marketing & Advertising

Marketing operationalises persuasion at commercial scale. The discipline has produced rich empirical literatures on message memorability, the effectiveness of emotional vs. rational appeals, celebrity endorsement, scarcity and social proof, and the varying persuasive power of different media channels. The rise of programmatic advertising and data-driven micro-targeting has brought marketing into direct dialogue with AI.

3.7 Computer Science & AI

CS and AI engage persuasion through multiple sub-fields:

  • Formal argumentation — Dung’s abstract argumentation frameworks, computational models of argument strength.
  • Argumentation mining in NLP — automatic identification of claims, premises, and attack/support relations in text.
  • Computer vision — recognising persuasive intent in images and video; visual rhetoric; ad-effectiveness prediction.
  • Large Language Models — generating and detecting persuasive text; the frontier where the field is now accelerating most rapidly.
  • Agentic systems — AI agents that negotiate, persuade, and adapt their communication strategy to an interlocutor.

3.8 Neuroscience

Caution

Section under active development.