Browse 4 peer-reviewed papers from University Of Arizona spanning Consumer Behavior, Social Media Marketing (2017–2025). Research powered by Prolific's high-quality participant data.
This page lists 4 peer-reviewed papers from researchers at University Of Arizona in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: J Mundel, J Yang
Year: 2025
Published in: Journal of Interactive Advertising, 2021 - Taylor & Francis
Institution: Arizona State University, Loyola University
Research Area: Consumer Behavior, Social Media Marketing, COVID-19 Studies
Discipline: Marketing, Social Sciences
Brands with strong perceived fit between their products and COVID-19 messaging showed higher consumer engagement and positive attitudes, while those with lower perceived fit faced negative evaluations due to perceptions of opportunism.
Methods: Analyzed consumer responses to Instagram ads using perceived brand-social issue fit as a determinant of ad evaluations, brand attitudes, and engagement intentions.
Key Findings: Consumer responses, ad evaluations, brand attitudes, engagement intentions, and perceived brand opportunism based on fit between product type and COVID-19 messaging.
DOI: https://www.tandfonline.com/doi/abs/10.1080/15252019.2021.1958274#
Citations: 29
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Authors: F Joessel, S Denkinger, PE Joessel, CS Green
Year: 2025
Published in: Acta Psychologica, 2025 - Elsevier
Institution: Max Planck Institute, University of Potsdam, University of Maryland, University of Zurich, University of Arizona
Research Area: Online cognitive training, Automated psychological studies, Crowdsourcing, behavioral research
Discipline: Psychology
The study introduces a fully online method for conducting cognitive training experiments using Prolific, significantly reducing resource demands while achieving robust results and diverse participant recruitment.
Methods: Participants were recruited via Prolific, assigned to groups using a pseudo-randomized procedure, and completed a 12-hour remote cognitive training study with pre- and post-test assessments monitored via custom dashboards.
Key Findings: Impact of a 12-hour cognitive training intervention on participants' cognitive functions, conducted in a remote and automated manner.
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Authors: B Lebrun, S Temtsin, A Vonasch
Year: 2024
Published in: Frontiers in Robotics and ..., 2024 - frontiersin.org
Institution: University of Lausanne, University of California Berkeley, University of Massachusetts Amherst, Arizona State University
Research Area: AI in Social Science Research, Survey Methodology, Data Quality
Discipline: Artificial Intelligence
The study examines the integrity of online questionnaire responses and concludes that humans can identify AI-generated text with 76% accuracy, but current AI detection systems are ineffective, raising concerns about data quality in online surveys.
Methods: Human participants and automatic AI detection systems were tested on their ability to differentiate AI-generated text from human-generated text in the context of online questionnaires.
Key Findings: The study measured the ability of humans and AI detection tools to correctly identify whether text was generated by a human or an AI system for online questionnaire responses.
DOI: https://doi.org/10.3389/frobt.2023.1277635
Citations: 26
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Authors: E Peer, L Brandimarte, S Samat, A Acquisti
Year: 2017
Published in: Journal of experimental social ..., 2017 - Elsevier
Institution: Eller College of Management, University of Arizona, Heinz College, Carnegie Mellon University
Research Area: Crowdsourcing behavioral research
Discipline: Behavioral Science
Citations: 3928