Fake news detection on social media using a natural language inference approach-Reference-Cited by-同舟云学术

Fake news detection on social media using a natural language inference approach

Published:2022-04-21 Issue:23 Volume:81 Page:33801-33821
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Sadeghi Fariba,Bidgoly Amir Jalaly^ORCID,Amirkhani Hossein

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-12428-8.pdf

Reference65 articles.

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2. Amirkhani H, AzariJafari M, Pourjafari Z, Faridan-Jahromi S, Kouhkan Z, Amirak A (2021) FarsTail: A Persian Natural Language Inference Dataset, arXiv:2009.08820

3. Bakhteev O, Ogaltsov A, Ostroukhov P (2020) Fake News Spreader Detection using Neural Tweet Aggregation. CLEF 2020 Labs and Workshops, Notebook Papers, CEUR-WS.org

4. Behzad B, Bheem B, Elizondo D, Marsh D, Martonosi S (2021) Prevalence and Propagation of Fake News, arXiv:2106.09586

5. Bojanowski P, Grave E, Joulin A, Mikolov T (2017) Enriching word vectors with subword information. Trans Ass Comput Linguist ics, 5:135–146. MIT Press

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