The evolution of artificial intelligence (AI) facilitates the creation of multimodal information of mixed quality, intensifying the challenges individuals face when assessing information credibility. Through in-depth interviews with users of generative AI platforms, this study investigates the underlying motivations and multidimensional approaches people use to assess the credibility of AI-generated information. Four major motivations driving users to authenticate information are identified: expectancy violation, task features, personal involvement, and pre-existing attitudes. Users evaluate AI-generated information’s credibility using both internal (e.g. relying on AI affordances, content integrity, and subjective expertise) and external approaches (e.g. iterative interaction, cross-validation, and practical testing). Theoretical and practical implications are discussed in the context of AI-generated content assessment.

中文翻译：

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信不信由你：了解用户的动机和评估 AI 生成信息可信度的策略


人工智能 （AI） 的发展促进了混合质量的多模式信息的创建，加剧了个人在评估信息可信度时面临的挑战。通过对生成式 AI 平台的用户进行深入访谈，本研究调查了人们用来评估 AI 生成信息的可信度的潜在动机和多维方法。确定了驱使用户验证信息的四个主要动机：期望违例、任务特征、个人参与和预先存在的态度。用户使用内部方法（例如依赖 AI 功能、内容完整性和主观专业知识）和外部方法（例如迭代交互、交叉验证和实际测试）来评估 AI 生成的信息的可信度。在 AI 生成内容评估的背景下讨论了理论和实践意义。