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AI Chatbot Inoculates 5,000 Parents Against Vaccine Misinformation in Europe

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Summary

A multi-country clinical trial registered on ClinicalTrials.gov (NCT07551986) evaluates an AI chatbot designed to counter cognitive biases and inoculate parents against vaccine misinformation, conducted across five European countries with 5,000 participants. The trial compares behavioral and attitudinal responses between the AI-driven chatbot intervention and standard-of-care materials such as UNICEF infographics. The study is scaled from a 2026 single-country predecessor and aims to identify scalable misinformation interventions applicable across the EU.

“Scaled from a 2026 single-country study, outcomes compare behavioural and attitudinal responses against standard-of-care materials (e.g., UNICEF infographics) to identify effective, scalable misinformation interventions.”

NIH , verbatim from source
Published by NIH on changeflow.com . Detected, standardized, and enriched by GovPing. Review our methodology and editorial standards .

About this source

ClinicalTrials.gov is the NIH-run registry of every clinical trial conducted in the United States, plus most international trials sponsored by US-based companies or institutions. By federal law, sponsors must register Phase 2 through Phase 4 studies before enrolling patients and post results within a year of completion. This feed tracks every new trial registration and study update, around 700 a month: drug interventions, device studies, behavioral protocols, observational research. Watch this if you scout drug candidates moving into mid or late-stage development, monitor competitor pipelines, or follow rare disease research where new trials signal patient hope. GovPing parses sponsor, phase, intervention, and target indication on each entry.

What changed

The ClinicalTrials.gov registry entry documents a new multi-country interventional study evaluating an AI chatbot as a tool for building cognitive resilience to vaccine misinformation among parents. The trial enrolls 5,000 participants across five European countries and compares the AI chatbot intervention against standard-of-care UNICEF infographics as the control. The study's inclusion of both behavioral and attitudinal outcome measures suggests a comprehensive approach to assessing intervention efficacy.

Affected parties include clinical researchers conducting public health intervention studies, public health authorities in EU member states exploring AI-based misinformation countermeasures, and potentially healthcare providers seeking scalable tools to address vaccine hesitancy. The registry entry itself does not impose compliance obligations on regulated entities but serves as a transparent record of planned research activity.

Archived snapshot

Apr 28, 2026

GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.

← ClinicalTrials.gov Studies

Building Cognitive Resilience to Vaccine Misinformation Using AI in Europe

N/A NCT07551986 Kind: NA Apr 27, 2026

Abstract

This multi-country trial evaluates an AI chatbot designed to counter cognitive biases and inoculate parents against vaccine misinformation, embedded within a large survey across five European countries (n=5,000). Scaled from a 2026 single-country study, outcomes compare behavioural and attitudinal responses against standard-of-care materials (e.g., UNICEF infographics) to identify effective, scalable misinformation interventions.

Conditions: Healthy

Interventions: AI-driven chatbot, Social media infographic

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Last updated

Classification

Agency
NIH
Published
April 27th, 2026
Instrument
Notice
Branch
Executive
Legal weight
Non-binding
Stage
Final
Change scope
Minor

Who this affects

Applies to
Healthcare providers Public health authorities Research institutions
Industry sector
6211 Healthcare Providers
Activity scope
Clinical research trials Public health intervention AI-based misinformation countermeasure
Geographic scope
European Union EU

Taxonomy

Primary area
Public Health
Operational domain
Clinical Operations
Topics
Artificial Intelligence Healthcare Public Health

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