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Spread Mechanism

Accuracy-responsive vs Identity/moral: a framework for matching interventions to the way misinformation travels.

Source-Backed
Based on McLoughlin et al., Science, 2024 . The study shows that people share false health claims for different reasons — and the most effective response depends on which reason is dominant.

Accuracy-responsive spread

Content spreads because it fills an information gap. Readers believe it, or are unsure, and pass it on as if it were useful knowledge. Corrections, source cues and prebunks tend to work here because the audience is still reasoning about whether the claim is true.

  • Audience asks: “Is this true?”
  • Responsive to fact-checks, expert sourcing and uncertainty framing.
  • Best interventions: prebunking, inoculation, credible source labels.
Accuracy-responsive

Identity / moral spread

Content spreads because it signals who we are and what we stand against. The claim is emotionally charged and bound up with group membership, values or moral outrage. Accuracy corrections often backfire because the audience is performing identity, not evaluating evidence.

  • Audience asks: “Whose side am I on?”
  • Driven by outrage, moral disgust and in-group signalling.
  • Best interventions: values-aligned reframing, trusted in-group voices, empathy-first narratives.
Identity / moral

Why this matters for UTA

Directional

A single dashboard can mislead if it treats every false claim the same way. Vaccine misinformation, for example, is often identity-bound; AMR misinformation can be curiosity-driven and accuracy-responsive. Choosing the wrong response wastes resources and can deepen polarisation.

Accuracy-responsive topics

Cancer treatment, AMR, chronic disease self-management, drugs/substances.

Identity/moral topics

Vaccines, mental health, nutrition, reproductive health.

Operational rule of thumb

If the dominant emotion is outrage, lead with values, not facts. If it is fear or curiosity, lead with credible, source-backed clarity.

Category mapping

Source-Backed
CategorySpread mechanismOutrage loadPublic-health harmImplicationSource
VaccinesIdentity / moralOutrage-drivenHighUse values-aligned, trusted-messenger framing; avoid purely factual rebuttals.
Cancer TreatmentAccuracy-responsiveFear-drivenHighUse source cues, prebunks and uncertainty-reducing corrections.
Mental HealthIdentity / moralOutrage-drivenHighUse values-aligned, trusted-messenger framing; avoid purely factual rebuttals.
Drugs/SubstancesAccuracy-responsiveFear-drivenHighUse source cues, prebunks and uncertainty-reducing corrections.
Nutrition & DietIdentity / moralOutrage-drivenMediumUse values-aligned, trusted-messenger framing; avoid purely factual rebuttals.
Antibiotic Resistance (AMR)Accuracy-responsiveCuriosity / UncertaintyHighUse source cues, prebunks and uncertainty-reducing corrections.
Reproductive HealthIdentity / moralOutrage-drivenMediumUse values-aligned, trusted-messenger framing; avoid purely factual rebuttals.
Chronic DiseaseAccuracy-responsiveNeutralMediumUse source cues, prebunks and uncertainty-reducing corrections.

Mechanism labels are directional judgments based on the evidence cited in Sources & Evidence. They should be updated as UTA-specific research replaces third-party estimates.

Source

McLoughlin, K. L., Brady, W. J., Goolsbee, A., Kaiser, B., Klonick, K., & Crockett, M. J. (2024). Misinformation exploits outrage to spread online. Science, 386(6725), 991–996. https://doi.org/10.1126/science.adl2829