Journal of Communication · 2024 · 35 citations · 24 references
Social SciencesPsychologySocial PsychologyArtificial IntelligenceNarrative StudiesPersuasionNarrative CommunicationNarrative ConstructionNarrative PersuasionAlgorithmic StorytellingCounterarguing ReductionLanguage Processing ModelsMore-than-human NarrativesReactance TheoryStory GenerationUser StoriesUser-generated Narratives
Abstract Storytelling is a human universal. The ubiquity of stories and the rapid development in Artificial Intelligence (AI) pose important questions: can AI like ChatGPT tell engaging and persuasive stories? If so, what makes a narrative engaging and persuasive? Three pre-registered experiments comparing human-generated narratives from existing research and the ChatGPT-generated versions using descriptions and materials from these studies show that labeling AI as a narrative source led to lower transportation, higher counterarguing, and lower story-consistent beliefs. However, AI-generated narratives led to lower (Study 1 and 3) or similar levels (Study 2) of counterarguing than the human-generated version. Readers showed lower (Study 2) or similar levels of transportation (Study 1 and 3) when reading the AI- than the human-generated stories. We suggest the AI model’s linguistic competence and logical coherence contribute to its stories’ verisimilitude. However, AI’s lack of lived experience and creativity may limit its storytelling ability.
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Training language models to follow instructions with human feedback
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Integration of the cognitive and the psychodynamic unconscious.
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