Evaluating Twitter’s algorithmic amplification of low-credibility content: an observational study
Crossref DOI link: https://doi.org/10.1140/epjds/s13688-024-00456-3
Published Online: 2024-03-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Corsi, Giulio http://orcid.org/0000-0002-5130-2258
Text and Data Mining valid from 2024-03-07
Version of Record valid from 2024-03-07
Article History
Received: 20 September 2023
Accepted: 22 February 2024
First Online: 7 March 2024
Declarations
:
: The author declares no competing interests.