Publications

A Mixed Model for Identifying Fake News in Tweets from the 2020 Us Presidential Election

AuthID
P-00V-KN9

Author(s)

Bernardes, V

Figueira, A

Editor(s)

Domínguez Mayo,FJ;Marchiori,M;Filipe,J

Document Type

Proceedings Paper

Year published

2021

Published

in PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGIES (WEBIST) in WEBIST, ISSN: 21843252

Volume: 2021-October, Pages: 307-315 (9)

Conference

17Th International Conference on Web Information Systems and Technologies (Webist), Date: OCT 26-28, 2021, Location: ELECTR NETWORK, Sponsors: INSTICC

Indexing

Wos^®

Scopus^®

Dblp^®/en/publications/view/904873

Crossref^®1

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.5220/0010660500003058

Dblp: conf/webist/Bernardes021

Scopus: 2-s2.0-85130229662

Wos: WOS:000795868100031

Source Identifiers

ISSN: 21843252

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A Mixed Model for Identifying Fake News in Tweets from the 2020 Us Presidential Election

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