Editorial Technological Methods Against Disinformation
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Keywords
Editorial, Fake news, AI methods
Abstract
This editorial introduces the September issue and highlights four papers that are concerned with automatically detecting fake news and “phishing” attempts. The discussion is in the context of a recent proposal by the Australian Government to restrict the spread of misinformation and disinformation. It is noted that all the proposed methods use Artificial Intelligence (AI), suggesting that bias, which can be introduced by AI training processes, would be worthy of further research. The other papers are briefly described.
This issue also includes an obituary for Harry Wragge, a former head of Telecom/Telstra Research Laboratories. We also note the passing of John Burke, an influential member of this Journal’s Editorial Advisory Board.
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References
Australian Government. (2023b). New ACMA powers to combat misinformation and disinformation. Department of Infrastructure, Transport, Regional Development, Communications and the Arts, September 2023. Available at https://www.infrastructure.gov.au/have-your-say/new-acma-powers-combat-misinformation-and-disinformation
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Finlay, L. (2023). Why Misinformation Bill risks Freedoms it Aims to Protect. Australian Human Rights Commission. Available at https://humanrights.gov.au/about/news/opinions/why-misinformation-bill-risks-freedoms-it-aims-protect
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Minister for Communications. (2023). Interview with Andy Park, ABC RN Drive. Transcript available at https://minister.infrastructure.gov.au/rowland/interview/interview-andy-park-abc-rn-drive
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Tham, K.-T., Ng, K.-W., & Haw, S.-C. (2023). Phishing Message Detection Based on Keyword Matching. Journal of Telecommunications and the Digital Economy, 11(3), 105–119. https://doi.org/10.18080/jtde.v11n3.776
Wilding, D. (2021). Regulating News and Disinformation on Digital Platforms: Self-Regulation or Prevarication? Journal of Telecommunications and the Digital Economy, 9(2), 11–46. https://doi.org/10.18080/jtde.v9n2.415
Wong, W. K., Juwono, F. H., Chew, I. M., & Lease, B. A. (2023). Language Independent Models for COVID-19 Fake News Detection: Black Box versus White Box Models. Journal of Telecommunications and the Digital Economy, 11(3), 84–104. https://doi.org/10.18080/jtde.v11n3.789
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright Telecommunications Association Inc.
Leith H. Campbell, RMIT University
Leith H. Campbell is an adjunct professor of RMIT University and Managing Editor of this Journal.
