Work

How to Tackle Fake Medical Content with Clustering and Transformers

Year: 2024

Type: conference-paper

Source: International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)

DOI: 10.1109/synasc65383.2024.00044

Authors: Radu Razvan Slavescu, Marina Bianca Trif, Anca Marginean, Kinga Cristina Slavescu

Institutions: Technical University of Cluj-Napoca, Iuliu Hațieganu University of Medicine and Pharmacy

Language: English

Topic: Misinformation and Its Impacts

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: closed

OpenAlex ID: W4407950590

FWCI: 1.325

Cites: 19

Cited by: 1

Related to: 10