Article
Version 2
Preserved in Portico This version is not peer-reviewed
Understanding the Strategies of Creating Fake News in Social Media
Version 1
: Received: 11 November 2020 / Approved: 13 November 2020 / Online: 13 November 2020 (10:05:52 CET)
Version 2 : Received: 27 November 2020 / Approved: 27 November 2020 / Online: 27 November 2020 (16:43:48 CET)
Version 2 : Received: 27 November 2020 / Approved: 27 November 2020 / Online: 27 November 2020 (16:43:48 CET)
How to cite: Vatsalan, D.; Arachchilage, N. A. Understanding the Strategies of Creating Fake News in Social Media. Preprints 2020, 2020110369. https://doi.org/10.20944/preprints202011.0369.v2 Vatsalan, D.; Arachchilage, N. A. Understanding the Strategies of Creating Fake News in Social Media. Preprints 2020, 2020110369. https://doi.org/10.20944/preprints202011.0369.v2
Abstract
Social media giants like Facebook are struggling to keep up with fake news, in the light of the fact that disinformation diffuses at lightning speed. For example, the COVID-19 (i.e. Coronavirus) pandemic is testing the citizens' ability to distinguish real news from falsifying facts (i.e. disinformation). Cyber-criminals take advantage of the inability to cope with fake news diffusion on social media platforms. Fake news, created as a means to manipulate readers to perform various malicious IT activities such as clicking on fraudulent links associated with the fake news/posts. However, no previous study has investigated the strategies used to create fake news on social media. Therefore, we have analysed five data-sets using Machine Learning (ML) that contain online news articles (i.e. both fake and legitimate news) to investigate strategies of creating fake news on social media platforms. Our study findings revealed a threat model understanding strategies of crafting fake news which may highly likely diffuse on social media platforms.
Keywords
usable security; fake news; emotions; sentiment analysis; machine learning
Subject
Social Sciences, Media studies
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Commenter: Nalin Asanka Gamagedara Arachchilage
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