Bias comparison · evidence reviewed
Both happen in the context of correcting misinformation, but they describe different outcomes. Continued influence means the correction helps yet some influence of the old information remains. Backfire is the narrower case where the correction makes belief in the targeted false claim stronger.
The shortest distinction
| Question | Continued Influence Effect | Backfire Effect |
|---|---|---|
| What happens after correction? | Reliance on the false information is reduced but not eliminated, so it can still affect later inference or judgment. | Belief in the targeted false claim becomes stronger after the correction relative to the relevant baseline. |
| Does the correction help? | Often yes. Partial improvement and continued influence can occur at the same time. | Not on the targeted belief. By definition, the measured belief moves in the wrong direction. |
| What is not enough? | Simply remembering the original claim is not enough; the corrected misinformation must still affect belief, inference, or judgment. | Disagreement, anger, distrust, no change, or incomplete updating are not enough. The false belief must actually strengthen. |
| How common is it? | A robust finding across misinformation-correction research, although its size varies with the task and correction. | A documented but uncommon and context-sensitive outcome. Recent reviews find factual corrections generally improve belief accuracy and true backfire is rare. |
Decision diagnostic
Write the exact false claim and measure the relevant belief or inference before the correction when possible.
Deliver the correction clearly and keep the corrected fact separate from reactions to the messenger.
Measure the same belief or inference afterwards. If reliance fell but remained above the corrected baseline, continued influence is the closer description.
Use the term backfire only if belief in the targeted false claim increased after correction. Do not infer it from argument, frustration, distrust, or continued influence.
Same outcome, different bias
Continued Influence EffectA news report first blames a fire on faulty wiring. The report is corrected, and readers accept the correction, but some still use the wiring explanation when reasoning about later details.
Backfire EffectAfter the wiring claim is clearly corrected, readers become more confident that faulty wiring caused the fire than they were before the correction.
Continued Influence EffectA team removes an early root-cause claim from the record, yet parts of the later discussion still assume that cause when explaining the timeline.
Backfire EffectAfter a corrective analysis rules the cause out, measured confidence in that same disproven cause rises.
Continued Influence EffectA user learns that a generated statistic was false but later still uses it as part of an explanation or estimate.
Backfire EffectAfter the statistic is corrected, the user reports stronger belief in that exact false statistic than before the correction.
Retrospective review protocol
Evidence
Comparison reviewed 2026-08-18. The individual bias pages contain their full evidence status and boundary conditions.
