Leveraging Socio-contextual Information in BERT for Fake Health News Detection in Social Media-Reference-Cited by-同舟云学术

Leveraging Socio-contextual Information in BERT for Fake Health News Detection in Social Media

Published:2023-09-04 Issue: Volume: Page:
ISSN:
Container-title:3rd International Workshop on Open Challenges in Online Social Networks
language:
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Author:

Upadhyay Rishabh¹^ORCID,Pasi Gabriella¹^ORCID,Viviani Marco¹^ORCID

Affiliation:

1. Department of Informatics, Systems, and Communication, University of Milano-Bicocca, Italy

Funder

HORIZON EUROPE Marie Sklodowska-Curie Actions

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3599696.3612902

Reference65 articles.

1. An Evolutionary Fake News Detection Method for COVID-19 Pandemic Information

2. Pt 2;Aphinyanaphongs Yindalon,2007

3. Manuel Au-Yong-Oliveira , Carlota P. A. Carlos , Hugo Pintor , João Caires , and Julia Zanoni . 2019. Fake News and Social Networks: How Users Interact with Fake Content . In New Knowledge in Information Systems and Technologies . Springer International Publishing , Cham , 195–205. Manuel Au-Yong-Oliveira, Carlota P. A. Carlos, Hugo Pintor, João Caires, and Julia Zanoni. 2019. Fake News and Social Networks: How Users Interact with Fake Content. In New Knowledge in Information Systems and Technologies. Springer International Publishing, Cham, 195–205.

4. Iz Beltagy Kyle Lo and Arman Cohan. 2019. SciBERT: A Pretrained Language Model for Scientific Text. arxiv:1903.10676 [cs.CL] Iz Beltagy Kyle Lo and Arman Cohan. 2019. SciBERT: A Pretrained Language Model for Scientific Text. arxiv:1903.10676 [cs.CL]

5. COVID-19 Misinformation Online and Health Literacy: A Brief Overview

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