The Wisdom of Individuals: Exploring People's Knowledge About Everyday Events Using Iterated Learning. - Stephan Lewandowsky; Thomas L. Griffiths 001; Michael L. Kalish (Cogn. Sci., 2009)

A Bayesian Model of Rule Induction in Raven's Progressive Matrices. - Daniel R. Little; Stephan Lewandowsky; Thomas L. Griffiths 001 (CogSci, 2012)

Removal of Information from Working Memory. - Ullrich K. H. Ecker; Stephan Lewandowsky; Klaus Oberauer (CogSci, 2013)

Global Change and Cognition. - Stephan Lewandowsky; Tania Lombrozo; Gordon D. A. Brown; John Cook; Ben R. Newell; Ullrich K. H. Ecker (CogSci, 2013)

Working memory capacity and fluid abilities: The more difficult the item, the more more is better. - Daniel R. Little; Stephan Lewandowsky; Stewart Craig (CogSci, 2013)

The Effects of Cultural Transmission Are Modulated by the Amount of Information Transmitted. - Thomas L. Griffiths 001; Stephan Lewandowsky; Michael L. Kalish (Cogn. Sci., 2013)

Memory Without Consolidation: Temporal Distinctiveness Explains Retroactive Interference. - Ullrich K. H. Ecker; Gordon D. A. Brown; Stephan Lewandowsky (Cogn. Sci., 2015)

Rational Irrationality: Modeling Climate Change Belief Polarization Using Bayesian Networks. - John Cook; Stephan Lewandowsky (Top. Cogn. Sci., 2016)

Future Global Change and Cognition. - Stephan Lewandowsky (Top. Cogn. Sci., 2016)

Computational and behavioral investigations of the SOB-CS removal mechanism in working memory. - Violette Hoareau; Sophie Portrat; Klaus Oberauer; Benoît Lemaire; Gaën Plancher; Stephan Lewandowsky (CogSci, 2017)

Why Does Higher Working Memory Capacity Help You Learn? - Kevin Lloyd; Adam Sanborn; David S. Leslie; Stephan Lewandowsky (CogSci, 2017)

The 'Alice in Wonderland' mechanics of the rejection of (climate) science: simulating coherence by conspiracism. - Stephan Lewandowsky; John Cook; Elisabeth A. Lloyd (Synth., 2018)

Why Higher Working Memory Capacity May Help You Learn: Sampling, Search, and Degrees of Approximation. - Kevin Lloyd; Adam Sanborn; David S. Leslie; Stephan Lewandowsky (Cogn. Sci., 2019)

Keeping track of 'alternative facts': The neural correlates of processing misinformation corrections. - Andrew Gordon; Susanne Quadflieg; Jonathan C. W. Brooks; Ullrich K. H. Ecker; Stephan Lewandowsky (NeuroImage, 2019)

Workshop on Technologies to Support Critical Thinking in an Age of Misinformation. - Tilman Dingler; Benjamin Tag; Philipp Lorenz-Spreen; Andrew W. Vargo; Simon Knight 001; Stephan Lewandowsky (CHI Extended Abstracts, 2021)

A Mixture of Experts in Associative Generalization. - Jessica Lee; Peter Lovibond; Brett K. Hayes; Stephan Lewandowsky (CogSci, 2021)

Social media sharing by political elites: An asymmetric American exceptionalism. - Jana Lasser; Segun Taofeek Aroyehun; Almog Simchon; Fabio Carrella; David García 001; Stephan Lewandowsky (CoRR, 2022)

New conceptions of truth foster misinformation in online public political discourse. - Jana Lasser; Segun Taofeek Aroyehun; Fabio Carrella; Almog Simchon; David García 001; Stephan Lewandowsky (CoRR, 2022)

IRMA: the 335-million-word Italian coRpus for studying MisinformAtion. - Fabio Carrella; Alessandro Miani; Stephan Lewandowsky (EACL, 2023)

Communicating Climate Change: A Comparison Between Tweets and Speeches by German Members of Parliament. - Robin Schaefer; Christoph Abels; Stephan Lewandowsky; Manfred Stede (WASSA@ACL, 2023)

You Are What You Read: Inferring Personality From Consumed Textual Content. - Adam Sutton; Almog Simchon; Matthew Edwards; Stephan Lewandowsky (WASSA@ACL, 2023)

Computational analysis of US Congressional speeches reveals a shift from evidence to intuition. - Segun Taofeek Aroyehun; Almog Simchon; Fabio Carrella; Jana Lasser; Stephan Lewandowsky; David García 001 (CoRR, 2024)

Moving towards informative and actionable social media research. - Joseph B. Bak-Coleman; Stephan Lewandowsky; Philipp Lorenz-Spreen; Arvind Narayanan; Amy Orben; Lisa Oswald (CoRR, 2025)