David Markowitz

Associate Professor

Michigan State University

United States

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About

David Markowitz is an Associate Professor at Michigan State University in the United States. His research focuses on artificial intelligence, natural language processing, and psychological correlates of online behavior. Recent publications include investigations into the psychological implications of AI use, social contributions related to political participation, and the connections between childhood adversity and deception. He is dedicated to advancing the understanding of verbal behavior and cognitive recreation in digital contexts.

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Ohio State University

UNITED STATES

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David Markowitz

Research Interests

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About

Articles (28)

Evaluating Artificial Intelligence Use and Its Psychological Correlates via Months of Web-Browsing Data

Context in Natural Language Processing Research: Advancing an Understanding of Affordances and Constraints on Verbal Behavior

The (in)efficacy of AI personas in deception detection experiments

Perceived social contribution and its associations with political participation

An exploration of basic human values in 38 million obituaries over 30 years

A Registered Conceptual Replication and Extension of Carter and Weber (2010): Generalized Trust, Lie Prevalence, and Deception Detection

From vulnerability to duplicity: Examining the connection between childhood adversity and deception

Empowered by the Experience: Playing as Female Characters in Video Games

Verbal behavior and the future of social science.

From complexity to clarity: How AI enhances perceptions of scientists and the public's understanding of science

Presence and Pronouns: An Exploratory Investigation into the Language of Social VR

“All the Makings of an Eventual NFL Starter:” Racial/Ethnic Disparities in a Decade of National Football League Draft Profiles as Revealed by Natural Language Processing

Numeric social-media posts engage people with climate science

Reading dies in complexity: Online news consumers prefer simple writing

The role of theory in researching and understanding human communication

Games as Cognitive Recreation: User Perspectives on Brain-Training Apps

Generative AI Are More Truth-Biased Than Humans: A Replication and Extension of Core Truth-Default Theory Principles

Authentic First Impressions Relate to Interpersonal, Social, and Entrepreneurial Success

Linguistic Markers of Inherently False AI Communication and Intentionally False Human Communication: Evidence From Hotel Reviews

Taking Note of Our Biases: How Language Patterns Reveal Bias Underlying the Use of Office Discipline Referrals in Exclusionary Discipline

Cross-checking journalistic fact-checkers: The role of sampling and scaling in interpreting false and misleading statements

PassivePy: A tool to automatically identify passive voice in big text data

Instrumental goal activation increases online petition support across languages.

Self-presentation in medicine: How language patterns reflect physician impression management goals and affect perceptions

Analytic thinking as revealed by function words: What does language really measure?

Deceptive (De)humanization: How Lying About Perceived Outgroups is Revealed in Language

Words for Sale: Linguistic Complexity Associates with Higher Housing Prices in Online Realty Advertisements

Science Training for Political Reporters: Understanding Impact with a Mixed Methods Approach

Collaborators (8)

Ryan Boyd

Hollie Smith

Timothy Levine

Angus Kittelman

Christine Gilbert

Maryam Kouchaki

Ellen Peters

Hillary Shulman

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