Happy to introduce our new Toolbox of Interventions Against Online Misinformation and Manipulation. It is an expert-curated research resource of 10 types of evidence-supported interventions. 🧰
Interactive website …terventionstoolbox.mpib-berlin.mpg.de
Preprint psyarxiv.com/x8ejt
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The toolbox delivers a conceptual overview of the breadth of interventions, incl. their target, scalability, & limitations. We categorize these interventions as nudges, which target behaviors; boosts, which target competences; or refutation strategies, which target beliefs. 2/8
The evidence part of the toolbox summarizes the evidence behind the 10 interventions, and is based on 42 scientific papers recommended for inclusion by the experts. It is available online as a searchable and expandable table at …terventionstoolbox.mpib-berlin.mpg.de/table_evidence…
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In the manuscript (psyarxiv.com/x8ejt), we also identify three main paradigms in research on misinformation interventions: the misinformation-correction paradigm, the headline-discernment paradigm, and the skill-adoption paradigm. Yes, there is more than one! 4/8
Misinformation research is developing rapidly, and the state of the evidence behind interventions changes constantly. In light of this, for the next three years upon publication in a scientific journal, our toolbox will be available as a living expert review. Stay tuned! 5/8
As an expert review, this toolbox would not be possible without contribution of misinformation researchers from across the globe. The core team of coordinating authors includes @lorenz_spreen@stefanmherzog@UlliEcker@STWorg and Ralph Hertwig @arc_mpib 6/8
Happy to share our new preprint with @stefanmherzog@philipplenz6@STWorg and Ralph Hertwig "Public attitudes towards algorithmic personalization and use of personal data online: Evidence from Germany, Great Britain, and the US" psyarxiv.com/3q4mg 1/N
Billions of people rely on data-driven algorithms online--often without noticing--when scrolling through news feeds, following video suggestions or using search engines. But how acceptable do they find the use of their personal information for the purpose of personalization? 2/N
In an online survey in Germany, GB, and the US (N=1,000 each) we inquired into people's attitudes towards three key components of algorithmic personalization: personalized services, personal data, and personal information that can be provided by users or inferred from data. 3/N