Personalized Emphasis Framing for Persuasive Message Generation

July 29, 2016 Β· Declared Dead Β· πŸ› Conference on Empirical Methods in Natural Language Processing

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Authors Tao Ding, Shimei Pan arXiv ID 1607.08898 Category cs.AI: Artificial Intelligence Cross-listed cs.CL Citations 23 Venue Conference on Empirical Methods in Natural Language Processing Last Checked 4 months ago
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 domain-independent personal traits including personality (e.g., extraversion and conscientiousness) and basic human values (e.g., self-transcendence and hedonism). We also demonstrate how the analysis results can be used in automated personalized content selection for persuasive message generation.
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