The quest for authenticity in dining experiences has become increasingly important. This paper explores authenticity dimensions that are of value to customers in dining experiences, and by that gains a multi-dimensional understanding of authenticity in this context. Following an integrated learning approach using text mining and classification techniques, this paper explores and confirms different dimensions of authenticity by identifying and classifying authenticity judgements in online restaurant reviews. The results suggest that authenticity is a multi-dimensional concept encompassing Authenticity of the Other, Authenticity of the Producer, and Authenticity of the Self as first-level dimensions. Additionally, besides historical and categorical authenticity which have been previously explored in the literature, a new type of authenticity - Deviated Authenticity - emerged as a second-level dimension falling under Authenticity of the Other. This paper enhances existing conceptualisations of authenticity and establishes avenues for exploring the multi-dimensionality of other consumer research concepts using user-generated content.

对就餐体验的真实性的追求变得越来越重要。本文探讨了在用餐体验中对客户有价值的真实性维度，从而在这种情况下获得了对真实性的多维理解。通过使用文本挖掘和分类技术的综合学习方法，本文通过在在线餐厅评论中识别和分类真实性判断，探索并确认了真实性的不同维度。结果表明，真实性是多维度概念涵盖了其它的真实性，生产者的真实性，和自我的真实性作为第一级的尺寸。此外，除了已在文献中被先前探测的历史和分类真实性，新型真实性-斜井真实性-成为第二级尺寸下下降的其他的真实性。本文增强了真实性的现有概念，并为使用用户生成的内容探索其他消费者研究概念的多维性提供了途径。