Call for Book Chapters
Deepfakes and Misinformation
Implications for Society
Justice and Ethics
To be Published by CRC Press, Taylor & Francis Group
Editors:
Dr Munir Saeed, University of Canberra, Australia
Dr Mohiuddin Ahmed, Edith Cowan University, Australia
Dr Tahmina Rashid, University of Canberra, Australia
About the Book
Deepfake content that impacts like real is a recent phenomenon resulting from the lethal combination of artificial neural networks and high-power computing. It has led to the creation of technologies and tools such as FakeApp and faceApp to produce fake but real look-alike content. The available apps and technologies offer powerful tools and techniques to change human body features such as hairstyle, voice, age, and, in some cases, the entire face can be changed with another. The inability to control and detect deepfake content poses challenges to the criminal investigation and justice systems, where video and voice form significant sources of evidence. The nexus between deepfake and misinformation has a massive potential to misguide and manipulate public opinion against political opponents and cause social discord among diverse political and social groups that may result in intra-group conflicts. While the world was still grappling with photoshopped visual images as the mainstay of the emerging digital culture, videos created by ‘synthetic media’ techniques provoked vigilante reactions by the enraged public in many countries. Deepfakes have become an effective tool for video-based forms of disinformation by both domestic and foreign actors. These videos can undermine voters’ trust and could alter electoral results. The inherent potential of deepfake to cause social, political and reputational damage has prompted calls for technological solutions to distinguish the real from the fake. Thankfully, various artificial intelligence (AI) models and technologies are available, but with limited success, as these are suffering from accuracy and maturity challenges. Deepfake detection models and technologies use datasets, but they sometimes fail to detect deepfake content due to the lack of diversity in the dataset in which they are trained.
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In this context, this book will address the challenges associated with deep fake and misinformation, providing a bigger picture of the evolution, trends, techniques, impact on critical infrastructures, national security, and open research directions. In addition, the proposed book will serve as a single source of reference for acquiring knowledge on the topic.
Topics of interest include, but are not limited to:
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Part I: Evolution of Deepfake and Misinformation – Past, present and future
Part II: Tools and technologies for deepfake & Misinformation content creation
Part III: Models for deepfake & misinformation detection
Part IV: Detection challenges with deepfake & misinformation
Part V: Impact on the criminal investigation and the justice system
Part VI: Futuristic challenges and research directions
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Submission Instructions
The expected manuscript length is 7,000 to 12,000 words. Longer manuscripts may be allowed based on the topic and need. Manuscripts submitted for the book must be original, must not be previously published or currently under review anywhere. The manuscript must be prepared with MS Office (docx). Please do not use any special formatting or macros in your submission.
General formatting guideline: A4 page with 1 inch (2.54 cm) margin on all sides, single column format, 1.5 line spacing with 10 point sized font, Times New Roman. References should be cited within the text with numbers in sequence like [1], [2], [3], .... An all-in-one PDF file may be submitted for the initial version; however, if the chapter is accepted, this formatting style must be followed, and MS-Office file (docx) must be supplied.
A chapter proposal (1-2 pages including probable Table of Contents, author contact details and affiliation(s)) should be sent to the editors as soon as possible. Please email to the editors.
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Important Dates
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Proposal Submission Deadline: February 28th 2025
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Notification of Proposal Acceptance: March 15th 2025
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Draft of Full Chapter Submission: May 30th 2025
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Notification for Corrections: June 30th 2025
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Final Chapter Submission: July 31st 2025
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Delivery of full content of the book to the publisher: August 15th 2025
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Editors' Contact Information
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Dr Munir Saeed
Lecturer
Faculty of Arts and Design, University of Canberra
Email: Munir.Saeed@canberra.edu.au
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Dr Mohiuddin Ahmed
Senior Lecturer
School of Science, Edith Cowan University,
Email: m.ahmed.au@ieee.org
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Associate Professor Tahmina Rashid
Faculty of Arts and Design, University of Canberra
Email: Tahmina.Rashid@canberra.edu.au
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