In this study, a textual analysis of the linguistic characteristics of Goodreads user-generated reviews associated with popular graphic novels revealed reviewers’ rich evaluations of both textual and visual characteristics of the novels as well as the embodied orientation of the reviewers’ narrations, wherein positive emotions associated with the reading experience dominated. Overall, the blend of users’ unique perceptions of textual and visual characteristics of graphic novels contributes to the genre’s vivid representation and discoverability. The machine analysis of user-generated reviews revealed a high rate of function words, pronouns, and auxiliary verbs, which may suggest reviewers’ social orientation. This high rate of function words and the overall positive tone of the reviews may also be interpreted as reviewers’ attempts to promote their reviews and influence others’ reading choices.

在这项研究中，对 Goodreads 用户生成的与流行图画小说相关的评论语言特征的文本分析揭示了评论者对小说的文本和视觉特征以及评论者叙述的具体取向的丰富评价，其中积极的与阅读体验相关的情绪占主导地位。总体而言，用户对图画小说的文本和视觉特征的独特感知的融合有助于该类型的生动表现和可发现性。用户生成评论的机器分析显示功能词、代词和助动词的比例很高，这可能表明评论者的社会取向。