z-logo
open-access-imgOpen Access
Infodemiology: Computational Methodologies for Quantifying and Visualizing Key Characteristics of the COVID-19 Infodemic
Author(s) -
Dominic Vincent Ligot,
Frances Claire Tayco,
Mark Toledo,
Carlos Nazareno,
Denise Brennan-Rieder
Publication year - 2021
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.3771695
Subject(s) - misinformation , social media , disinformation , data science , identification (biology) , topic model , social network analysis , pandemic , computer science , covid-19 , medicine , information retrieval , world wide web , computer security , biology , botany , disease , pathology , infectious disease (medical specialty)

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom