Computing Folklore Studies
Mapping over a Century of Scholarly Production through Topics
Bibliographic Data
| ID | 2824784 |
|---|---|
| Authors | John Laudun (0000-0002-7555-7562), Jonathan Goodwin |
| Year | 2013 |
| Volume | 126 |
| Issue | 502 |
| Pages | 455-475 |
| Publication date | 2013-10-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of American Folklore (JOURNAL) |
| Journal identifiers | ISSN: 0021-8715 • E-ISSN: 1535-1882 |
| Publisher | University of Illinois Press (PUBLISHER • US) |
| DOI | 10.5406/jamerfolk.126.502.0455 |
| OpenAlex | W1996438239 |
| Language | EN |
| Citations received | 5 |
| References cited | 12 |
Folklorists, like most practitioners in a field, understand the history of their discipline through a combination of their own reading and the consensus inherited from their graduate training and professional interactions. Disciplinary history, an effectively oral form of communication, codifies quickly. Highly contingent and random processes become widely understood as historically inevitable. In this preliminary report on a larger project examining the application of computational methodologies in the service of intellectual history, we explore the use of topic modeling as a way to understand the ebb and flow of topics and paradigms within a domain. Using JSTOR's Data for Research application programming interface to access the contents of 6,778 articles from three folklore studies journals (Journal of American Folklore, Western Folklore, Journal of Folklore Research), we used one form of topic modeling, Latent Dirichlet Allocation, to delineate 50 distinct topics drawn from 125 years of research publication. Of particular interest here was the legendary "turn toward performance" in our field
Archaeology · Data science · Discipline · Domain (mathematical analysis) · Field (mathematics) · Folklore · Folkloristics · Historiography · Latent Dirichlet allocation · Oral history · Political science · Reading (process) · Service (business) · Social science · Sociology · Topic model · Artificial Intelligence · Computational and Text Analysis Methods · Computer Science · Digital Humanities and Scholarship · Folklore, Mythology, and Literature Studies · History
Dynamic topic models
Probabilistic topic models
Latent semantic analysis
Hybridization and the Marketplace
Tending Bar at Brown's
Toward an Assessment of Verbal Art as Performance
Computing Folklore Studies
Whose Body? An Introduction to Bodylore
Time Consciousness and Growing up in Bamana Folk Drama
Toward an Assessment ofVerbal Art as Performance
Folklore's Crisis
Steps to an Ecology of Mind
| Unique citing works | 5 |
|---|---|
| Citations per year | 0,38 |
| Citation span | 2013 - 2023 (11) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 5 |