AutoPersuade: A Framework for Evaluating and Explaining Persuasive Arguments
Till Saenger, Musashi Hinck, Justin Grimmer, Brandon M. Stewart
2024年份
3被引次数
1顶会引用
摘要
We introduce AutoPersuade, a three-part framework for constructing persuasive messages. First, we curate a large dataset of arguments with human evaluations. Next, we develop a novel topic model to identify argument features that influence persuasiveness. Finally, we use this model to predict the effectiveness of new arguments and assess the causal impact of different components to provide explanations. We validate AutoPersuade through an experimental study on arguments for veganism, demonstrating its effectiveness with human studies and out-of-sample predictions.
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