Retrieving false claims on Twitter during the Russia-Ukraine conflict-Reference-Cited by-同舟云学术

Retrieving false claims on Twitter during the Russia-Ukraine conflict

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the ACM Web Conference 2023
language:
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Author:

La Gatta Valerio¹^ORCID,Wei Chiyu²^ORCID,Luceri Luca²^ORCID,Pierri Francesco³^ORCID,Ferrara Emilio²^ORCID

Affiliation:

1. Information Sciences Institute, University of Southern California, USA and University of Naples Federico II, Italy

2. Information Sciences Institute, University of Southern California, USA

3. Politecnico di Milano, Italy and Information Sciences Institute, University of Southern California, USA

Funder

DARPA

Italian Ministry of Education

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543873.3587571

Reference35 articles.

1. Liesbeth Allein and Marie-Francine Moens. 2020. Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets. CoRR abs/2008.08854 (2020). arXiv:2008.08854https://arxiv.org/abs/2008.08854

2. Automatic Fact-Checking Using Context and Discourse Information

3. Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign

4. GERE: Generative Evidence Retrieval for Fact Verification

5. Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. CoRR abs/1810.04805 (2018). arXiv:1810.04805http://arxiv.org/abs/1810.04805

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