TrollHunter2020: Real-time Detection of Trolling Narratives on Twitter During the 2020 U.S. Elections-Reference-Cited by-同舟云学术

TrollHunter2020: Real-time Detection of Trolling Narratives on Twitter During the 2020 U.S. Elections

Published:2021-04-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 ACM Workshop on Security and Privacy Analytics
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Author:

Jachim Peter¹,Sharevski Filipo¹,Pieroni Emma²

Affiliation:

1. DePaul University, Chicago, IL, USA

2. DePaul University, Chicago, ID, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3445970.3451158

Reference43 articles.

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2. Network Propaganda

3. Kenneth Benoit and Akitaka Matsuo. 2020. spacyr: Wrapper to the 'spaCy' 'NLP' Library. https://CRAN.R-project.org/package=spacyr R package version 1.2.1. Kenneth Benoit and Akitaka Matsuo. 2020. spacyr: Wrapper to the 'spaCy' 'NLP' Library. https://CRAN.R-project.org/package=spacyr R package version 1.2.1.

4. Weaponized Health Communication: Twitter Bots and Russian Trolls Amplify the Vaccine Debate

5. Emily Chen Ashok Deb and Emilio Ferrara. 2020. #Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election. arxiv: cs.SI/2010.00600 Emily Chen Ashok Deb and Emilio Ferrara. 2020. #Election2020: The First Public Twitter Dataset on the 2020 US Presidential Election. arxiv: cs.SI/2010.00600

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