"280 characters to the White House: predicting 2020 U.S. presidential ..."

Rodrigue Rizk et al. (2023)

> Home

Details and statistics

DOI: 10.1007/S10588-023-09376-5

access: closed

type: Journal Article

metadata version: 2023-12-31

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cmot/RizkRRH23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cmot/RizkRRH23
Rodrigue Rizk, Dominick Rizk, Frederic Rizk, Sonya H. Y. Hsu:
280 characters to the White House: predicting 2020 U.S. presidential elections from twitter data. Comput. Math. Organ. Theory 29(4): 542-569 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.