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Full-Text Articles in Library and Information Science
Emojis And Emotion Categories For Fiction: Survey Questions, Wan-Chen Lee, Li-Min Huang, Juliana Hirt
Emojis And Emotion Categories For Fiction: Survey Questions, Wan-Chen Lee, Li-Min Huang, Juliana Hirt
School of Information Studies Faculty Articles
This is the survey instrument and data for a research project on Emojis and Emotion Categories for Fiction. This is an anonymous online survey that collected 64 responses from self-identified fiction readers who are 18 years or older. The questions asked participants to 1) select mood categories (e.g., angry, cozy) that describe the atmosphere/setting, emotion, and tone/narrative of fiction. 2) Select all the emojis that represent the 30 emotion categories provided. The results verify the three families of mood categories for fiction, and create mappings between emojis and mood categories.
User-Centered Categorization Of Mood In Fiction, Hyerim Cho, Wan-Chen Lee, Li-Min Huang, Joseph Kohlburn
User-Centered Categorization Of Mood In Fiction, Hyerim Cho, Wan-Chen Lee, Li-Min Huang, Joseph Kohlburn
School of Information Studies Faculty Articles
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.
We 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 …
Linking, Mapping, Matching, And Change: Contemporary Use Of Ranganathan’S Three Planes Of Work In Classification Activity, Wan-Chen Lee
Linking, Mapping, Matching, And Change: Contemporary Use Of Ranganathan’S Three Planes Of Work In Classification Activity, Wan-Chen Lee
School of Information Studies Faculty Articles
Scholars have identified interoperability issues in mapping metadata in a linked data environment (Zeng 2019). This study builds on previous research and proposes a creative use of Ranganathan’s (1989) three planes of work in classification activity. By extending the application of the three planes of work to the linked data environment, we can use this conceptual model as an analytical tool to highlight particular mapping challenges. This paper uses three cases to show how discrepancies between the idea plane, verbal plane, and notational plane may cause mapping issues. Further, we can see that mapping issues are not limited to differences …
A Child-Driven Metadata Schema: A Holistic Analysis Of Children's Cognitive Processes During Book Selection, Jihee Beak
A Child-Driven Metadata Schema: A Holistic Analysis Of Children's Cognitive Processes During Book Selection, Jihee Beak
Theses and Dissertations
The purpose of this study was to construct a child-driven metadata schema by understanding children's cognitive processes and behaviors during book selection. Existing knowledge organization systems including metadata schemas and previous literature in the metadata domain have shown that there is a no specialized metadata schema that describes children's resources that also is developed by children. It is clear that children require a new or alternative child-driven metadata schema. Child-driven metadata elements reflected the children's cognitive perceptions that could allow children to intuitively and easily find books in an online cataloging system. The literature of development of literacy skills claims …