In this paper we investigate the relationship of Information Science (IS) and the
Digital Humanities (DH) by means of a scientometric comparison of academic
journals from the respective disciplines. In order to identify scholarly practices
for both disciplines, we apply a recent variant of LDA topic modeling that makes
use of additional hierarchical clustering. The results reveal the existence of characteristic topic areas for both IS (information retrieval, information seeking behavior, scientometrics) and DH (computational linguistics, distant reading and
digital editions) that can be used to distinguish them as disciplines in their own
right. However, there is also a larger shared area of practices related to information management and also a few shared topic clusters that indicate a common
ground for – mostly methodological – exchange between the two disciplines.
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:92311 |
| Date | 26 June 2024 |
| Creators | Burghardt, Manuel, Luhmann, Jan |
| Publisher | Werner Hülsbusch |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | https://doi.org/10.5283/epub.44944 |
Page generated in 0.0021 seconds