AI and Fake News: A Conceptual Framework for Fake News Detection

Leila Ameli, Md Shah Alam Chowdhury, Farnaz Farid, Abubakar Bello, Fariza Sabrina, Alana Maurushat

Research output: Contribution to conferencePaperpeer-review

Abstract

In today’s world, Cyberspace plays an essential part in an individual’s life. Many people heavily depend on social media to get information and read the news. Such excessive reliance on Cyberspace, specifically on social media, has created vast room for many cybercrimes, such as the rapid spread of Fake News and misinformation. Additionally, the possibility of generating fake compelling content has become more accessible. Thanks to the rapid growth of the Internet and the adaption of Artificial Intelligence (AI) technologies. AI technologies are a two-edged sword. They are capable of positive improvements, e.g. detecting misinformation, fake or altered images and videos, identifying bots, and processing and retaining information better than humans. On the other hand, when used by malicious actors, there is a significant threat to the digital, physical, and political landscape. Additionally, the increasing use of social media platforms, specifically Facebook and Twitter, has allowed the public to spread opinions and information quickly, whether factual or not. Therefore, there is a need for further research and collaboration to understand how to identify and combat the spread of fake news and disinformation and prevent the malicious use of AI technologies whilst preventing infringement of privacy guidelines. To this end, in this study, we propose a conceptual framework to classify and detect fake news. The three-tier framework features characterisation and feature extraction, classification and detection, and the final feature is defence.

Original languageEnglish
Pages34-39
Number of pages6
DOIs
Publication statusPublished - 16 Dec 2022
EventCSW '22: Proceedings of the 2022 International Conference on Cyber Security: Proceedings of the 2022 International Conference on Cyber Security - Zhejiang, Hangzhou, China
Duration: 16 Dec 202218 Dec 2022
https://dl.acm.org/doi/proceedings/10.1145/3584714

Conference

ConferenceCSW '22: Proceedings of the 2022 International Conference on Cyber Security
Abbreviated titleCSW '22
Country/TerritoryChina
CityHangzhou
Period16/12/2218/12/22
Internet address

Keywords

  • Artificial Intelligence
  • Cyber Security
  • CyberSpace
  • Detection
  • Disinformation
  • Fake News
  • Machine Learning
  • Misinformation

Fingerprint

Dive into the research topics of 'AI and Fake News: A Conceptual Framework for Fake News Detection'. Together they form a unique fingerprint.

Cite this