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This is an online supplement for the expert review project “Toolbox of Interventions Against Online Misinformation and Manipulation”

Coordinating authors: Anastasia Kozyreva1, Philipp Lorenz-Spreen 1, Stefan Herzog1, Ullrich Ecker2, Stephan Lewandowsky2,3,4, and Ralph Hertwig 1

Contributing authors: Melisa Basol5, Adam J. Berinsky6, Cornelia Betsch7,8, John Cook9, Lisa K. Fazio10, Michael Geers1,11, Andrew M. Guess12, Rakoen Maertens5, Folco Panizza13, Gordon Pennycook14, David J. Rand6, Steve Rathje15, Jason Reifler16, Jon Roozenbeek5, Philipp Schmid7,8, Mark Smith17, Briony Swire-Thomson18, Paula Szewach16,19, Sander van der Linden5, Sam Wineburg17.

1Center for Adaptive Rationality, Max Planck Institute for Human Development, Germany. 2School of Psychological Science, University of Western Australia. 3School of Psychological Science, University of Bristol, England. 4University of Potsdam, Germany. 5University of Cambridge, United Kingdom. 6Massachusetts Institute of Technology, United States. 7University of Erfurt, Germany. 8Bernhard Nocht Institute for Tropical Medicine, Germany. 9Climate Change Communication Research Hub, Monash University, Australia. 10Vanderbilt University, United States. 11Humboldt University of Berlin, Germany. 12Princeton University, United States. 13IMT School for Advanced Studies Lucca, Italy. 14University of Regina, Canada. 15New York University, United States. 16University of Exeter, United Kingdom. 17Stanford University, United States. 18Northeastern University, United States. 19University of Essex, United Kingdom.

Research assistance: Spela Vrtovec, Friederike Stock.

Editorial assistance: Deb Ain.

Abstract: The spread of misinformation through media and social networks threatens many aspects of society, including public health and the state of democracies. A wide range of individual-focused interventions aimed at reducing harm from online misinformation have been developed in the behavioral and cognitive sciences. Here, we introduce the toolbox of interventions against misinformation, which includes an up-to-date account of the interventions featured in 42 scientific papers. A resource for scientists, policy makers, and the public, the toolbox delivers both a conceptual overview of the breadth of interventions, including their target and scope, and a summary of the empirical evidence supporting the interventions, including the methods and experimental paradigms used to test them. The toolbox covers 10 types of interventions: accuracy prompts, debunking, friction, inoculation, lateral reading, media-literacy tips, rebuttals of science denialism, self-reflection tools, social norms, and warning and fact-checking labels.

Preprint: https://psyarxiv.com/x8ejt

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sessionInfo()
R version 4.1.0 (2021-05-18)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 22000)

Matrix products: default

locale:
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[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    
system code page: 65001

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] workflowr_1.6.2

loaded via a namespace (and not attached):
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