Technological Approaches to Detecting Online Disinformation and Manipulation-Reference-Cited by-同舟云学术

Technological Approaches to Detecting Online Disinformation and Manipulation

Published:2021 Issue: Volume: Page:139-166
ISSN:2662-589X
Container-title:Challenging Online Propaganda and Disinformation in the 21st Century
language:
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Author:

Horák Aleš,Baisa Vít,Herman Ondřej

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-58624-9_5

Reference70 articles.

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2. Adair, B., Li, C., Yang, J., & Yu, C. (2017). Progress Toward ‘the Holy Grail’: The Continued Quest to Automate Fact-Checking. Evanston: Northwestern University.

3. Ajao, O., Bhowmik, D., & Zargari, S. (2018). Fake News Identification on Twitter with Hybrid CNN and RNN Models. Proceedings of the 9th International Conference on Social Media and Society—SMSociety ’18. New York: ACM Press. https://doi.org/10.1145/3217804.3217917.

4. Auer, S., Bizer, C., Kobilarov, G., Lehmann, J., Cyganiak, R., & Ives, Z. (2007). DBpedia: A Nucleus for a Web of Open Data. The Semantic Web, 4825, 722–735. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-76298-0_52.

5. Barrón-Cedeño, A., Jaradat, I., Da San Martino, G., & Nakov, P. (2019). Proppy: Organizing the News Based on Their Propagandistic Content. Information Processing and Management, 56(5), 1849–1864. https://doi.org/10.1016/j.ipm.2019.03.005.

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