Hong Kong Protests: Using Natural Language Processing for Fake News Detection on Twitter-Reference-Cited by-同舟云学术

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Hong Kong Protests: Using Natural Language Processing for Fake News Detection on Twitter

Published:2020 Issue: Volume: Page:408-419
ISSN:1868-4238
Container-title:IFIP Advances in Information and Communication Technology
language:
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Author:

Zervopoulos Alexandros,Alvanou Aikaterini Georgia,Bezas Konstantinos,Papamichail Asterios,Maragoudakis Manolis,Kermanidis Katia

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-49186-4_34

Reference20 articles.

1. Lecture Notes in Computer Science;H Ahmed,2017

2. Breiman, L.: Random forests. Mach. Learn. 45(1), 5–32 (2001)

3. Buntain, C., Golbeck, J.: Automatically identifying fake news in popular Twitter threads. In: 2017 IEEE International Conference on Smart Cloud (SmartCloud), pp. 208–215. IEEE (2017)

4. Conlon, S.P.N., Evens, M.: Can computers handle adverbs? In: The 15th International Conference on Computational Linguistics, COLING 1992, vol. 4 (1992)

5. Conroy, N.J., Rubin, V.L., Chen, Y.: Automatic deception detection: methods for finding fake news. Proc. Assoc. Inf. Sci. Technol. 52(1), 1–4 (2015)

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