University of Kwazulu-Natal

Toolbox Of Individual Level Interventions Against Online Misinformatio

Bonisiwe Shabane
-
toolbox of individual level interventions against online misinformatio

The spread of misinformation through media and social networks threatens many aspects of society, including public health and the state of democracies. One approach to mitigating the effect of misinformation focuses on individual-level interventions, equipping policymakers and the public with essential tools to curb the spread and influence of falsehoods. Here we introduce a toolbox of individual-level interventions for reducing harm from online misinformation. Comprising an up-to-date account of interventions featured in 81 scientific papers from across the globe, the toolbox provides both a conceptual overview of nine main types of interventions, including their target, scope and examples,... The nine types of interventions covered are accuracy prompts, debunking and rebuttals, friction, inoculation, lateral reading and verification strategies, media-literacy tips, social norms, source-credibility labels, and warning and fact-checking labels. Nature Human Behaviour volume 8, pages 1044–1052 (2024)Cite this article

The spread of misinformation through media and social networks threatens many aspects of society, including public health and the state of democracies. One approach to mitigating the effect of misinformation focuses on individual-level interventions, equipping policymakers and the public with essential tools to curb the spread and influence of falsehoods. Here we introduce a toolbox of individual-level interventions for reducing harm from online misinformation. Comprising an up-to-date account of interventions featured in 81 scientific papers from across the globe, the toolbox provides both a conceptual overview of nine main types of interventions, including their target, scope and examples,... The nine types of interventions covered are accuracy prompts, debunking and rebuttals, friction, inoculation, lateral reading and verification strategies, media-literacy tips, social norms, source-credibility labels, and warning and fact-checking labels. This is a preview of subscription content, access via your institution

Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription This reproducible R Markdown analysis was created with workflowr (version 1.7.1). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history. Great!

Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results. Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment. The command set.seed(20220228) was run prior to running the code in the R Markdown file.

Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible. Great job! Recording the operating system, R version, and package versions is critical for reproducibility. The spread of misinformation through media and social networks threatens many aspects of society, including public health and the state of democracies. One approach to mitigating the effect of misinformation focuses on individual-level interventions, equipping policymakers and the public with essential tools to curb the spread and influence of falsehoods.

Here we introduce a toolbox of individual-level interventions for reducing harm from online misinformation. Comprising an up-to-date account of interventions featured in 81 scientific papers from across the globe, the toolbox provides both a conceptual overview of nine main types of interventions, including their target, scope and examples,... The nine types of interventions covered are accuracy prompts, debunking and rebuttals, friction, inoculation, lateral reading and verification strategies, media-literacy tips, social norms, source-credibility labels, and warning and fact-checking labels. My research interests are causal inference in dynamic time series systems © 2025 Center Synergy of Systems · Published with Wowchemy — the free open source website builder that empowers creators. Anastasia Kozyreva*, Philipp Lorenz-Spreen, Stefan Herzog, Ullrich K H Ecker, Stephan Lewandowsky, Ralph Hertwig, et al

Research output: Contribution to journal › Review article (Academic Journal) › peer-review This output contributes to the following UN Sustainable Development Goals (SDGs) This is the accepted author manuscript (AAM) of the article which has been made Open Access under the University of Bristol's Scholarly Works Policy. The final published version (Version of Record) can be found on the publisher's website. The copyright of any third-party content, such as images, remains with the copyright holder. Lewandowsky, S.

(Principal Investigator), Westaway, R. M. (Administrator) & Carrella, F. (Researcher) (Max Planck Institute for Human Development) (Max Planck Institute for Human Development)

(Max Planck Institute for Human Development) (University of Bristol University of Potsdam) (Max Planck Institute for Human Development)

People Also Search

The Spread Of Misinformation Through Media And Social Networks Threatens

The spread of misinformation through media and social networks threatens many aspects of society, including public health and the state of democracies. One approach to mitigating the effect of misinformation focuses on individual-level interventions, equipping policymakers and the public with essential tools to curb the spread and influence of falsehoods. Here we introduce a toolbox of individual-...

The Spread Of Misinformation Through Media And Social Networks Threatens

The spread of misinformation through media and social networks threatens many aspects of society, including public health and the state of democracies. One approach to mitigating the effect of misinformation focuses on individual-level interventions, equipping policymakers and the public with essential tools to curb the spread and influence of falsehoods. Here we introduce a toolbox of individual-...

Access Nature And 54 Other Nature Portfolio Journals Get Nature+,

Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription This reproducible R Markdown analysis was created with workflowr (version 1.7.1). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history. Great!

Since The R Markdown File Has Been Committed To The

Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results. Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment. The command set.seed(20220228) was ...

Setting A Seed Ensures That Any Results That Rely On

Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible. Great job! Recording the operating system, R version, and package versions is critical for reproducibility. The spread of misinformation through media and social networks threatens many aspects of society, including public health and the state of democracies. One approach to mitigat...