ArticleNature human behaviour2022
Combining interventions to reduce the spread of viral misinformation.
Article in Nature human behaviour, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 141 citations in OpenAlex.
- Accuracy prompts are a replicable and generalizable approach for reducing the spread of misinformation.Nature communications · 2022Pooled it
- Measuring complex constructs in large-scale text with computational social mixed methods.Behavior research methods · 2026Article
- The case against efficiency: friction in social media.Npj complexity · 2026Review
- Group membership biases children's evaluation of evidence.Nature communications · 2025Article
- Understanding the strengths and limitations of community-based responses to misinformation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Addressing misleading medical information on social media: a scoping review of current interventions.BMJ evidence-based medicine · 2025Article
- Community notes reduce engagement with and diffusion of false information online.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Advocating for a community-centred model for responding to potential information harms.Nature human behaviour · 2025Review
- The Quality and Reliability of Online Videos as an Information Source of Public Health Education for Stroke Prevention in Mainland China: Electronic Media-Based Cross-Sectional Study.JMIR infodemiology · 2025Article
- How media competition fuels the spread of misinformation.Science advances · 2025Article
- Designing social media content recommendation algorithms for societal good.Annals of the New York Academy of Sciences · 2025Article
- Countering AI-generated misinformation with pre-emptive source discreditation and debunking.Royal Society open science · 2025Article
- #WhatIEatinaDay: The Quality, Accuracy, and Engagement of Nutrition Content on TikTok.Nutrients · 2025Article
- Large-scale analysis of fact-checked stories on Twitter reveals graded effects of ambiguity and falsehood on information reappearance.PNAS nexus · 2025Article
- Nrf1 acts as a highly-conserved determinon for maintaining robust redox homeostasis in the eco-evo-devo process of life histories.Cell stress · 2025Review
- Metacognition biases information seeking in assessing ambiguous news.Communications psychology · 2024Article
- Collective dynamics behind success.Nature communications · 2024Review
- Inoculation and accuracy prompting increase accuracy discernment in combination but not alone.Nature human behaviour · 2024Article
- Article
- Social Drivers and Algorithmic Mechanisms on Digital Media.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Misinformation online poses a range of threats, from subverting democratic processes to undermining public health measures. Proposed solutions range from encouraging more selective sharing by individuals to removing false content and accounts that create or promote it. Here we provide a framework to evaluate interventions aimed at reducing viral misinformation online both in isolation and when used in combination. We begin by deriving a generative model of viral misinformation spread, inspired by research on infectious disease. By applying this model to a large corpus (10.5 million tweets) of misinformation events that occurred during the 2020 US election, we reveal that commonly proposed interventions are unlikely to be effective in isolation. However, our framework demonstrates that a combined approach can achieve a substantial reduction in the prevalence of misinformation. Our results highlight a practical path forward as misinformation online continues to threaten vaccination efforts, equity and democratic processes around the globe.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.