Journal ArticleDOI
Tags, Borders, and Catalogs: Social Re-Working of Genre on LibraryThing
Maria Antoniak,Melanie Walsh,David Mimno +2 more
- Vol. 5, pp 1-29
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TLDR
The authors examined the dynamics of a collaborative tagging system and learned how its users refine and redefine literary genres through a computational reading of the online book reviewing community LibraryThing and found that users make sense of genre through a variety of values and expectations, many of which fall outside common definitions and understandings of genre.Abstract:
Through a computational reading of the online book reviewing community LibraryThing, we examine the dynamics of a collaborative tagging system and learn how its users refine and redefine literary genres. LibraryThing tags are overlapping and multi-dimensional, created in a shared space by thousands of users, including readers, bookstore owners, and librarians. A common understanding of genre is that it relates to the content of books, but this resource allows us to view genre as an intersection of user communities and reader values and interests. We explore different methods of computational genre measurement within the open space of user-created tags. We measure overlap between books, tags, and users, and we also measure the homogeneity of communities associated with genre tags and correlate this homogeneity with reviewing behavior.Finally, by analyzing the text of reviews, we identify the thematic signatures of genres on LibraryThing, revealing similarities and differences between them. These measurements are intended to elucidate the genre conceptions of the users, not, as in prior work, to normalize the tags or enforce a hierarchy. We find that LibraryThing users make sense of genre through a variety of values and expectations, many of which fall outside common definitions and understandings of genre.read more
Citations
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Proceedings ArticleDOI
Synthesizing Digital Libraries and Digital Humanities Perspectives for Illuminating Under-investigated Complexities associated with User-generated Book Reviews
TL;DR: This thesis explores how to synthesize DL and DH to illuminate the under-examined complexities associated with user-generated book reviews and improve the scholarly usability of such emergent data provisions.
Quantifying Quality: A Computational Approach to Literary Value in North Korea
TL;DR: This paper analyzed the influence of genre on literary consecration in the Democratic People's Republic of Korea (DPRK) using quantitative methods and data sets covering a significant part of the country's literary and intellectual output over forty years (1977-2016).
Posted Content
Modeling Social Readers: Novel Tools for Addressing Reception from Online Book Reviews.
Pavan Holur,Shadi Shahsavari,Ehsan Ebrahimzadeh,Timothy R. Tangherlini,Vwani P. Roychowdhury +4 more
TL;DR: This article developed a pipeline of interlocking computational tools to extract a representation of this reader generated shared narrative model, using a corpus of reviews of five popular novels, to discover readers' distillation of the main storylines in a novel, their understanding of the relative importance of characters, as well as the readers' varying impressions of these characters.
Book ChapterDOI
Research with User-Generated Book Review Data: Legal and Ethical Pitfalls and Contextualized Mitigations
TL;DR: In this article , potential legal and ethical pitfalls in leveraging user-generated book reviews are discussed, and professional and scholarly references that might serve as useful guidelines to avoid or manage these pitfalls.
Journal ArticleDOI
Quantifying Quality: A Computational Approach to Literary Value in North Korea
TL;DR: This paper analyzed the influence of genre on literary consecration in the Democratic People's Republic of Korea (DPRK) using quantitative methods and data sets covering a significant part of the country's literary and intellectual output over forty years (1977-2016).
References
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