-
Legal Literacies for Text Data Mining
- Author(s):
- Stacy Reardon, Rachael Samberg, Glen Worthey (see profile)
- Date:
- 2020
- Group(s):
- DH2020
- Subject(s):
- Digital humanities, Research, Methodology, Law--Study and teaching, Library science, Teaching, Text data mining
- Item Type:
- Conference paper
- Conf. Title:
- DH2020
- Conf. Org.:
- ADHO
- Conf. Loc.:
- Online
- Conf. Date:
- July 20 - 24, 2020
- Tag(s):
- digital humanities ethics, digital humanities librarianship, digital humanities pedagogy, Digital humanities research and methodology, Legal studies, Librarianship, Pedagogy, Text analytics
- Permanent URL:
- http://dx.doi.org/10.17613/j1v8-6744
- Abstract:
- “Legal Literacies for Text Data Mining” outlines for digital humanities researchers and professionals some of the core skills and understandings needed to navigate law, policy, ethics, and risk in digital humanities text and data mining (TDM) projects, with reference to common DH use cases. We also reflect on the outcome of our NEH-funded, four-day Institute for Advanced Topics on this theme (https://buildinglltdm.org/) hosted online by UC Berkeley in June of 2020.
- Metadata:
- xml
- Status:
- Published
- Last Updated:
- 3 years ago
- License:
- Attribution
reardon-samberg-worthey_lltdm_dh2020.pptx