Algorithmic Persuasion
Algorithmic Persuasion is a computational method that systematically shapes user beliefs, attitudes, or behaviors through data-driven, automated rhetorical strategies, distinguishing itself from traditional persuasion by its reliance on algorithmic logic, scalability, and real-time adaptive personalization.
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2.3K
Citations
149
Authors
73
Institutions
Publications per year
2017–2026
42
Parents
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The potential of generative AI for personalized persuasion at scale
Sandra Matz, Jacob D. Teeny, Sumer S. Vaid et al. · Scientific Reports · 2024 · 215 citations · Full text
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Stanford University
Stanford, United States
4 h-index
8 publications
601 citations

University of Amsterdam
Amsterdam, The Netherlands
4 h-index
9 publications
445 citations
Fondazione Bruno Kessler
Trento, Italy
3 h-index
7 publications
340 citations
Sungkyunkwan University
Seoul, South Korea
3 h-index
4 publications
223 citations

Delft University of Technology
Delft, The Netherlands
2 h-index
4 publications
88 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
4 publications
125 citations

University of Bologna
Bologna, Italy
2 h-index
2 publications
125 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
2 h-index
4 publications
108 citations
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Repository · 4 publications · 63 citations
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IJA · 3 publications · 186 citations
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2 publications · 67 citations
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2 publications · 83 citations
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JMIS · 2 publications · 206 citations
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