Content Analysis of 150 Years of British Periodicals
- Submitting institution
-
University of Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 94754125
- Type
- D - Journal article
- DOI
-
10.1073/pnas.1606380114
- Title of journal
- Proceedings of the National Academy of Sciences of the United States of America
- Article number
- -
- First page
- E457
- Volume
- 114
- Issue
- 4
- ISSN
- 0027-8424
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
A - Artificial Intelligence and Autonomy
- Citation count
- 27
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- One of the most ambitious studies in Digital Humanities since the 2010 google-books study, it analyses 150 years of British Newspapers by using AI techniques. It establishes facts like the evolution of gender bias over decades, and geographical patterns of technology uptake. It addresses cultural change in a data-driven way, paving the way for a new generation of digital humanities scholars. Published in one of the world's most prestigious venues for all sciences, the Proceedings of the National Academy of Sciences. Funded by ERC Advanced Grant, it received very significant media attention (https://thinkbig.enm.bris.ac.uk/a/media-coverage/), and was conducted by an interdisciplinary team.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -