From amused to : enriching mood metadata by mapping textual descriptors to emojis for fiction reading

IF 1.7 3区管理学 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Documentation Pub Date : 2024-01-09 DOI:10.1108/jd-08-2023-0146

Wan-Chen Lee, Li-Min Cassandra Huang, Juliana Hirt

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引用次数: 0

Abstract

PurposeThis study aims to explore the application of emojis to mood descriptions of fiction. The three goals are investigating whether Cho et al.'s model (2023) is a sound conceptual framework for implementing emojis and mood categories in information systems, mapping 30 mood categories to 115 face emojis and exploring and visualizing the relationships between mood categories based on emojis mapping.Design/methodology/approachAn online survey was distributed to a US public university to recruit adult fiction readers. In total, 64 participants completed the survey.FindingsThe results show that the participants distinguished between the three families of fiction mood categories. The three families model is a promising option to improve mood descriptions for fiction. Through mapping emojis to 30 mood categories, the authors identified the most popular emojis for each category, analyzed the relationships between mood categories and examined participants' consensus on mapping.Originality/valueThis study focuses on applying emojis to fiction reading. Emojis were mapped to mood categories by fiction readers. Emoji mapping contributes to the understanding of the relationships between mood categories. Emojis, as graphic mood descriptors, have the potential to complement textual descriptors and enrich mood metadata for fiction.

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从逗乐到：通过将文本描述符映射到表情符号来丰富小说阅读的情绪元数据

目的本研究旨在探索表情符号在小说情绪描述中的应用。研究的三个目标是：调查 Cho 等人的模型（2023 年）是否是在信息系统中实施表情符号和情绪类别的合理概念框架；将 30 种情绪类别映射到 115 种面部表情符号；根据表情符号映射探索情绪类别之间的关系并将其可视化。结果结果显示，参与者区分了小说情绪类别的三个家族。三系模型是改进小说情绪描述的一个很有前景的选择。通过将表情符号映射到 30 个情绪类别，作者确定了每个类别中最受欢迎的表情符号，分析了情绪类别之间的关系，并考察了参与者对映射的共识。小说读者将表情符号与情绪类别进行了映射。表情符号映射有助于理解情绪类别之间的关系。表情符号作为图形心情描述符，有可能补充文字描述符，丰富小说的心情元数据。

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来源期刊

Journal of Documentation INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

4.20

自引率

14.30%

发文量

期刊介绍： The scope of the Journal of Documentation is broadly information sciences, encompassing all of the academic and professional disciplines which deal with recorded information. These include, but are certainly not limited to: ■Information science, librarianship and related disciplines ■Information and knowledge management ■Information and knowledge organisation ■Information seeking and retrieval, and human information behaviour ■Information and digital literacies