Generative AI for Social Research: Going Native with Artificial Intelligence
The rapid advancement of Generative AI technologies, and particularly LLMs, has ushered in a new era of possibilities — but also a whole new set of interrogation — for social research. This symposium brings together a set of contributions that collectively explore the diverse ways in which Generative AI could be “repurposed” in a digital methods fashion.
Authors
- Federico Pilati (ORCID: https://orcid.org/0000-0001-5526-1011)
- Tommaso Venturini (ORCID: https://orcid.org/0000-0003-0004-5308)
- Anders Kristian Munk (ORCID: https://orcid.org/0000-0002-5542-3065)
Institutions
- University of Geneva (CH)
- University of Bologna (IT)
- Technical University of Denmark (DK)
Publication Details
- Journal
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
- Published
- 2024-09-23
- DOI
- https://doi.org/10.6092/issn.1971-8853/20378
- Citations
- 6
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 11.36
Funders
- Aalborg Universitet