Personalized Emphasis Framing for Persuasive Message Generation
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Date
2016-11
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Citation of Original Publication
Ding, Tao, and Shimei Pan. “Personalized Emphasis Framing for Persuasive Message Generation.” In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, edited by Jian Su, Kevin Duh, and Xavier Carreras, 1432–41. Austin, Texas: Association for Computational Linguistics, 2016. https://doi.org/10.18653/v1/D16-1150.
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Attribution 4.0 International CC BY 4.0
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Abstract
In this paper, we present a study on personalized emphasis framing which can be used to tailor the content of a message to enhance its appeal to different individuals. With this framework, we directly model content selection decisions based on a set of psychologically-motivated domainindependent personal traits including personality (e.g., extraversion) and basic human values (e.g., self-transcendence). We also demonstrate how the analysis results can be used in automated personalized content selection for persuasive message generation.