Andrew Perfors
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Inferring the truth from deception: What can people learn from helpful and unhelpful information providers?
Self-censorship appears to be an effective way of reducing the spread of misinformation on social media
What do our sampling assumptions affect: How we encode data or how we reason from it?
Human-like property induction is a challenge for large language models
Source independence affects argument persuasiveness when the relevance is clear
Social meta-inference and the evidentiary value of consensus
What interventions and increase or decrease polarisation in a population of rational agents?
Where the truth lies: How sampling implications drive deception without lying
Exploring the role that encoding and retrieval play in sampling effects
Sample size, number of categories and sampling assumptions: Exploring some differences between categorization and generalization
Representational and sampling assumptions drive individual differences in single category generalisation
A cognitive analysis of deception without lying
Leaping to conclusions: Why premise relevance affects argument strength
How do people learn from negative evidence? Non-monotonic generalizations and sampling assumptions in inductive reasoning
People ignore token frequency when deciding how widely to generalize
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