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Detecting emotions in Facebook political ads with computer vision

Bossetta, Michael LU and Schmøkel, Rasmus (2020) p.98-99
Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
categories
Popular Science
host publication
U.S. Election Analysis 2020: Media, Voters and the Campaign
editor
Jackson, Daniel ; Sarver Coombs, Danielle ; Trevisan, Filippo ; Lilleker, Darren and Thorsen, Einar
pages
98 - 99
publisher
The Centre for Comparative Politics and Media Research, Bournemouth University
ISBN
978-1-910042-31-1
978-1-910042-32-8
language
English
LU publication?
yes
id
84a9dad8-a63e-4d7c-b1f5-9ee27dbed45b
alternative location
https://www.electionanalysis.ws/us/president2020/section-5-social-media/detecting-emotions-in-facebook-political-ads-with-computer-vision/
http://eprints.bournemouth.ac.uk/34838/
date added to LUP
2020-11-15 19:05:39
date last changed
2020-11-25 22:01:39
@misc{84a9dad8-a63e-4d7c-b1f5-9ee27dbed45b,
  author       = {Bossetta, Michael and Schmøkel, Rasmus},
  booktitle    = {U.S. Election Analysis 2020: Media, Voters and the Campaign},
  editor       = {Jackson, Daniel and Sarver Coombs, Danielle and Trevisan, Filippo and Lilleker, Darren and Thorsen, Einar},
  isbn         = {978-1-910042-31-1},
  language     = {eng},
  month        = {11},
  pages        = {98--99},
  publisher    = {The Centre for Comparative Politics and Media Research, Bournemouth University},
  title        = {Detecting emotions in Facebook political ads with computer vision},
  url          = {https://www.electionanalysis.ws/us/president2020/section-5-social-media/detecting-emotions-in-facebook-political-ads-with-computer-vision/},
  year         = {2020},
}