DiVA

diva-portal.org

Digitala Vetenskapliga Arkivet

EnglishSvenskaNorsk
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
If you care about AI, this is who you should vote for in the UK general election
Malmö University, Faculty of Culture and Society (KS), Department of Global Political Studies (GPS).ORCID iD: 0000-0001-9489-1681
2024 (English)Other (Other (popular science, discussion, etc.))
Abstract [en]

This piece is a comparative analysis of major parties’ manifesto pledges on AI for the 2024 UK general election.
Place, publisher, year, pages
The European Consortium for Political Research , 2024.
Keywords [en]
Artificial Intelligence, United Kingdom, Elections, Manifesto, 2024, Policy
National Category
Political Science (excluding Public Administration Studies and Globalisation Studies)
Identifiers
URN: urn:nbn:se:mau:diva-69541OAI: oai:DiVA.org:mau-69541DiVA, id: diva2:1880897
Available from: 2024-07-02 Created: 2024-07-02 Last updated: 2024-07-02Bibliographically approved

Open Access in DiVA

fulltext(7076 kB)59 downloads
File information
File name FULLTEXT01.pdfFile size 7076 kBChecksum SHA-512
ad03d758263b4f4c3e8e9637862556f8030b0b93fb4154ba6242468dde4e6f39b90dcb7d2504506c7b181da116bcf98a54e529fbce11491003cdde43be2b240c
Type fulltextMimetype application/pdf

Other links

fulltext

Search in DiVA

By author/editor
Tucker, Jason
By organisation
Department of Global Political Studies (GPS)
Political Science (excluding Public Administration Studies and Globalisation Studies)

Search outside of DiVA

GoogleGoogle Scholar
Total: 59 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 337 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.43.0
|
WCAG
|
About DiVA Portal
|
About the DiVA Consortium