Discover 4 peer-reviewed studies in Information Science (2020–2025). Explore research findings powered by Prolific's diverse participant panel.
This page lists 4 peer-reviewed papers in the research area of Information Science in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: M Alizadeh, E Hoes, F Gilardi
Year: 2025
Published in: Scientific Reports, 2023 - nature.com
Institution: Department of Marketing, University of Amsterdam, Department of Social Sciences, Università Degli Studi di Milano, Department of Political Science and International Relations, Università Degli Studi di Milano
Research Area: Social media, Misinformation, Computational Social Science
Discipline: Computational Social Science
Token-based incentives for social media engagement increase the sharing of misinformation, but implementing penalties for objectionable content can reduce this trend without fully eliminating it.
Methods: Survey experiment analyzing the impact of hypothetical token rewards and penalties on user willingness to share different types of news content.
Key Findings: Effect of token-based incentives and penalties on user engagement and the willingness to share misinformation.
DOI: https://doi.org/10.1038/s41598-023-40716-2
Citations: 20
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Authors: M Chung
Year: 2025
Published in: Internet Research, 2023 - emerald.com
Institution: University of Washington, Emory University
Research Area: Algorithmic Knowledge, Misinformation Countermeasures, Comparative Media Studies, Information Science
Discipline: Information Science
The study examines how algorithmic knowledge influences attitudes and actions against misinformation, revealing that perceptions of media influence on self and others predict corrective actions and support for regulation differently across four countries.
Methods: Four national surveys were conducted in the USA, UK, South Korea, and Mexico, with data analyzed through multigroup structural equation modeling (SEM).
Key Findings: Algorithmic knowledge, perceived influence of misinformation on self and others, intention to correct misinformation, support for regulation and content moderation.
DOI: https://doi.org/10.1108/INTR-07-2022-0578
Citations: 14
Sample Size: 5432
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Authors: S Kwon, NL Kim
Year: 2025
Published in: International Textile and Apparel ..., 2025 - iastatedigitalpress.com
Institution: University of Minnesota
Research Area: Social Media Advertising, Consumer Perception, Information Collection Ethics in Marketing, Social Science.
Discipline: Social Science, Marketing
Consumers are more willing to disclose personal information in social media advertising when they perceive exchanged benefits, such as monetary rewards and personalized recommendations, outweigh the risks; the method of information collection (overt vs. covert) does not significantly affect this decision.
Methods: An online survey was conducted among U.S. Instagram users to assess attitudes toward benefit-risk trade-offs in personal data disclosure for advertising purposes.
Key Findings: Willingness to disclose personal information, click-through intentions, and purchase intentions based on perceived benefits and risks in social media advertisements.
DOI: https://doi.org/10.31274/itaa.18830
Citations: 1
Sample Size: 199
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Authors: T Buchanan
Year: 2020
Published in: Plos one, 2020 - journals.plos.org
Institution: University of Westminster
Research Area: Misinformation, Social Media, Behavioral Science
Discipline: Computational Social Science, Media Studies
Citations: 418