{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,21]],"date-time":"2025-10-21T15:48:20Z","timestamp":1761061700958,"version":"3.41.2"},"reference-count":48,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2022,8,23]],"date-time":"2022-08-23T00:00:00Z","timestamp":1661212800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JD"],"published-print":{"date-parts":[[2023,4,4]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>Readers articulate mood in deeply subjective ways, yet the underlying structure of users' understanding of the media they consume has important implications for retrieval and access. User articulations might at first seem too idiosyncratic, but organizing them meaningfully has considerable potential to provide a better searching experience for all involved. The current study develops mood categories inductively for fiction organization and retrieval in information systems.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>The authors developed and distributed an open-ended survey to 76 fiction readers to understand their preferences with regard to the affective elements in fiction. From the fiction reader responses, the research team identified 161 mood terms and used them for further categorization.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>The inductive approach resulted in 30 categories, including angry, cozy, dark and nostalgic. Results include three overlapping mood families: Emotion, Tone\/Narrative, and Atmosphere\/Setting, which in turn relate to structures that connect reader-generated data with conceptual frameworks in previous studies.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>The inherent complexity of \u201cmood\u201d should not dissuade researchers from carefully investigating users' preferences in this regard. Adding to the existing efforts of classifying moods conducted by experts, the current study presents mood terms provided by actual end-users when describing different moods in fiction. This study offers a useful roadmap for creating taxonomies for retrieval and description, as well as structures derived from user-provided terms that ultimately have the potential to improve user experience.<\/jats:p><\/jats:sec>","DOI":"10.1108\/jd-03-2022-0071","type":"journal-article","created":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T03:56:50Z","timestamp":1661140610000},"page":"567-588","source":"Crossref","is-referenced-by-count":5,"title":["User-centered categorization of mood in fiction"],"prefix":"10.1108","volume":"79","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2574-3591","authenticated-orcid":false,"given":"Hyerim","family":"Cho","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3387-0243","authenticated-orcid":false,"given":"Wan-Chen","family":"Lee","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5465-497X","authenticated-orcid":false,"given":"Li-Min","family":"Huang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2714-826X","authenticated-orcid":false,"given":"Joseph","family":"Kohlburn","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2022,8,23]]},"reference":[{"issue":"3","key":"key2023040305111504700_ref001","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1016\/j.lisr.2007.03.004","article-title":"Fiction access points across computer-mediated book information sources: a comparison of online bookstores, reader advisory databases, and public library catalogs","volume":"29","year":"2007","journal-title":"Library and Information Science Research"},{"issue":"1","key":"key2023040305111504700_ref002","doi-asserted-by":"publisher","first-page":"41","DOI":"10.3233\/IA-2012-0028","article-title":"From tags to emotions: ontology-driven sentiment analysis in the social semantic web","volume":"6","year":"2012","journal-title":"Intelligenza Artificiale"},{"issue":"1","key":"key2023040305111504700_ref003","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1027\/1864-1105\/a000026","article-title":"Making sense of entertainment","volume":"23","year":"2011","journal-title":"Journal of Media Psychology"},{"issue":"1","key":"key2023040305111504700_ref004","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1002\/pra2.470","article-title":"Moods in book reviews: text mining approach","volume":"58","year":"2021","journal-title":"Proceedings of the Association for Information Science and Technology"},{"key":"key2023040305111504700_ref005","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1002\/pra2.471","article-title":"I don't want a book that's going to make me sad or stressed out, especially in this day and age\u201d: fiction reading (and healing) in a pandemic","year":"2021"},{"issue":"4","key":"key2023040305111504700_ref006","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1177\/1754073913489751","article-title":"Psychological construction in the OCC model of emotion","volume":"5","year":"2013","journal-title":"Emotion Review"},{"issue":"4","key":"key2023040305111504700_ref007","doi-asserted-by":"publisher","first-page":"751","DOI":"10.1037\/0022-3514.53.4.751","article-title":"The psychological foundations of the affective lexicon","volume":"53","year":"1987","journal-title":"Journal of Personality and Social Psychology"},{"volume-title":"Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory","year":"2014","key":"key2023040305111504700_ref008"},{"key":"key2023040305111504700_ref009","unstructured":"EBSCO (2021), \u201cThe secret language of books: a guide to story elements\u201d, available at: https:\/\/www.ebsco.com\/sites\/g\/files\/nabnos191\/files\/acquiadam-assets\/NoveList-Guide-to-Story-Elements.pdf (access 20 March 2022)."},{"volume-title":"The Measurement of Affect, Mood, and Emotion: A Guide for Health-Behavioral Research","year":"2013","key":"key2023040305111504700_ref010"},{"key":"key2023040305111504700_ref011","unstructured":"Ekman, P. 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