Feature analysis of fake news: improving fake news detection in social media-Reference-Cited by-同舟云学术

Feature analysis of fake news: improving fake news detection in social media

Published:2023-07-24 Issue:4 Volume:7 Page:224-241
ISSN:2374-2917
Container-title:Journal of Cyber Security Technology
language:en
Short-container-title:Journal of Cyber Security Technology

Author:

Leung Johnathan¹,Vatsalan Dinusha²,Arachchilage Nalin¹^ORCID

Affiliation:

1. The School of Computer Science, The University of Auckland, Auckland, New Zealand

2. The School of Computing, Macquarie University, Sydney, Australia

Publisher

Informa UK Limited

Subject

Computer Science Applications,History,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/23742917.2023.2237206

Reference23 articles.

1. Influence of fake news in Twitter during the 2016 US presidential election

2. $1.00 per RT #BostonMarathon #PrayForBoston: Analyzing fake content on Twitter

3. Starbird K, Maddock J, Orand M, et al., Rumors, false flags, and digital vigilantes: Misinformation on Twitter after the 2013 Boston Marathon bombing, in iConference, Grandville, MI, USA. 2014, pp. 654–662.

4. Pew Research Center Many Americans say made-up news is a critical problem that needs to be fixed (2019). Available at accessed 2022 04 29. https://www.pewresearch.org/journalism/2019/06/05/many-americans-say-made-up-news-is-a-critical-problem-that-needs-to-be-fixed/

5. Fake news in COVID-19: A perspective

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