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Norbert Schwarz

· Provost Professor of Psychology and Marketing

University of Southern California · Marketing

Active 1973–2025

h-index140
Citations111.2k
Papers75564 last 5y
Funding$7.9M

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Norbert Schwarz is a provost professor of psychology and marketing at the USC Marshall School of Business. He is an expert in consumer judgment and decision making, investigating how subtle contextual influences shape perceptions and behaviors. His research explores the downstream consequences of these influences on consumer behavior, health behavior, and political preferences. Schwarz has been elected to the American Academy of Arts and Sciences, the German National Academy of Science, and the Academia Europaea, a pan-European academy of arts and sciences. He serves on the editorial boards of leading journals in marketing, psychology, and social sciences. Prior to his current position at USC, he was the Charles Horton Cooley Collegiate Professor of psychology, business, and social research at the University of Michigan.

Research topics

  • Psychology
  • Cognitive psychology
  • Mathematics education
  • Social psychology
  • Epistemology

Selected publications

  • Metacognitive experiences as information: Processing fluency in consumer judgment and decision making

    Consumer Psychology Review · 2020 · 150 citations

    1st authorCorresponding

    Abstract Thinking is accompanied by metacognitive experiences of ease or difficulty. People draw on these experiences as a source of information that can complement or challenge the implications of declarative information. We conceptualize the operation of metacognitive experiences within the framework of feelings‐as‐information theory and review their implications for judgments relevant to consumer behavior, including popularity, trust, risk, truth, and beauty.

  • The Psychology of Fake News

    Routledge eBooks · 2020 · 75 citations

    Senior authorCorresponding

    This chapter investigates two aspects of misinformation: how to determine whether information (such as a news story) is true, and how the truthfulness of information affects its diffusion or spread. The chapter has a particular focus on the significance of social media for misinformation (in particular fake news): its prevalence, impact, and methods for identifying and studying the phenome- non. We review recent literature on how computational methods and "big data" sources (e.g., social media)…

  • Misinformed by images: How images influence perceptions of truth and what can be done about it

    Current Opinion in Psychology · 2023-12-02 · 24 citations

    articleOpen accessSenior author

    We organize image types by their substantive relationship with textual claims and discuss their impact on attention, comprehension, memory, and judgment. Photos do not need to be false (altered or generated) to mislead; real photos can create a slanted representation or be repurposed from different events. Even semantically related non-probative photos, merely inserted to attract eyeballs, can increase message acceptance through increased fluency. Messages with images receive more attention and…

  • Health Communication and Behavioral Change During the COVID-19 Pandemic

    Perspectives on Psychological Science · 2024-02-06 · 19 citations

    articleOpen accessSenior author

    The COVID-19 pandemic challenged the public health system to respond to an emerging, difficult-to-understand pathogen through demanding behaviors, including staying at home, masking for long periods, and vaccinating multiple times. We discuss key challenges of the pandemic health communication efforts deployed in the United States from 2020 to 2022 and identify research priorities. One priority is communicating about uncertainty in ways that prepare the public for disagreement and likely changes…

  • How funny is ChatGPT? A comparison of human- and A.I.-produced jokes

    PLoS ONE · 2024-07-03 · 18 citations

    articleOpen accessSenior authorCorresponding

    Can a large language model produce humor? Past research has focused on anecdotal examples of large language models succeeding or failing at producing humor. These examples, while interesting, do not examine ChatGPT's humor production abilities in ways comparable to humans' abilities, nor do they shed light on how funny ChatGPT is to the general public. To provide a systematic test, we asked ChatGPT 3.5 and laypeople to respond to the same humor prompts (Study 1). We also asked ChatGPT 3.5 to gen…

Recent grants

Frequent coauthors

  • Herbert Bless

    University of Mannheim

    64 shared
  • Daniel Kahneman

    Princeton University

    61 shared
  • Fritz Strack

    University of Würzburg

    56 shared
  • Alan B. Krueger

    Agricultural Research Service

    55 shared
  • David Schkade

    University of California, San Diego

    50 shared
  • Arthur A. Stone

    University of Southern California

    48 shared
  • Bärbel Knaüper

    McGill University

    29 shared
  • Martin Thurnher

    Universität Innsbruck

    26 shared

Education

  • Ph.D., Psychology

    University of Michigan

Awards & honors

  • Elected to the American Academy of Arts and Sciences
  • Elected to the German National Academy of Science
  • Elected to the Academia Europaea (pan-European academy of ar…

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