An experiential account of a large-scale interdisciplinary data analysis of public engagement
Journal
AI & SOCIETY
ISSN
0951-5666
1435-5655
Date Issued
2022
Author(s)
Type
Resource Types::text::journal::journal article
URL Institutional Repository
Cite this document
Goñi, J. “Iñaki”, Fuentes, C., & Raveau, M. P. (2023). An experiential account of a large-scale interdisciplinary data analysis of public engagement. AI & SOCIETY, 38(2), 581-593. https://doi.org/10.1007/s00146-022-01457-4
Subjects
science
;
democracy
;
deliberation
;
politics
;
technology
;
power
;
computation theory
;
knowledge based systems
;
linguistics
;
python
;
argumentation theory
;
deliberation
;
descriptive analysis
;
grounded theory
;
interdisciplinary research
;
large-scales
;
multidisciplinary teams
;
public dialog
;
public engagement
;
social science theory
;
natural language processing systems