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Stefan Michael Herzog

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Senior Research Scientist

Max Planck Institute for Human Development

Germany

Research Interests

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Recent Grants

Grant: Close

Assisting behavioral science and evidence-based policy making using online machine tools

Open Date: 2021-01-01

Close Date:

Grant: Close

Reclaiming individual autonomy and democratic discourse online: How to rebalance human and algorithmic decision making

Open Date: 2020-11-30

Close Date: 2024-11-30

Grant: Close

Controlling the Jekyll and Hyde of Artificial-Intelligence Assisted Information Architectures: Accepting Customization while Resisting micro-targeted Manipulation

Open Date: 2019-02-07

Close Date: 2020-02-07

Grant: Close

Dialectical bootstrapping:?A new paradigm to improve individual judgment

Open Date: 2011-01-01

Close Date: 2017-02-28

Grant: Close

'The Wisdom of Crowds' within and across people

Open Date: 2009-06-01

Close Date: 2009-06-30

Articles (20)

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AUSTRALIA

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Philipp Lorenz-Spreen

Research Group Leader

Technische Universität Dresden

GERMANY

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Vito Trianni

Sapienza University of Rome

ITALY

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Stefan Michael Herzog

Research Interests

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Recent Grants

Articles (20)

Boosting Media Literacy Using Lateral Reading and Online Search Interventions

Simple changes to content curation algorithms affect the beliefs people form in a collaborative filtering experiment

The governance & behavioral challenges of generative artificial intelligence’s hypercustomization capabilities

Surfacing citizens’ policy perspectives at scale in the age of large language models

Boosting: Empowering Citizens with Behavioral Science

Making the wisdom of crowds efficient — with confidence

The political (a)symmetry of metacognitive insight into detecting misinformation.

Tracking the Development of COVID-19-related PsyArXiv Preprints

Collective Intelligence Increases Diagnostic Accuracy in a General Practice Setting

Boosting human competences with interpretable and explainable artificial intelligence.

Crowdsourcing the assessment of wine quality: Vivino ratings, professional critics, and the weather

Combating misinformation: A megastudy of nine interventions designed to reduce the sharing of and belief in false and misleading headlines

How large language models can reshape collective intelligence

Real-time assessment of motives for sharing and creating content among highly active Twitter users

The Online Misinformation Engagement Framework

Toolbox of individual-level interventions against online misinformation

Resolving content moderation dilemmas between free speech and harmful misinformation

Automating hybrid collective intelligence in open-ended medical diagnostics

Blinding to Circumvent Human Biases: Deliberate Ignorance in Humans, Institutions, and Machines

Hybrid Collective Intelligence for Decision Support in Complex Open-Ended Domains

Collaborators (10)

Stephan Lewandowsky

Gaurav Saxena

Olga Kostopoulou

Dawn Holford

Matthew Blanchard

Philipp Lorenz-Spreen

Vito Trianni

Mark Leiser

Lisa Oswald

Jason Reifler

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