Deepfakes Decoded: Navigating Disinformation in the Digital Age
Deepfakes are transforming how media can be manipulated, raising serious concerns about disinformation and public trust. This course covers how deepfakes are created, their societal impact, and the tools and strategies being used to detect and address false information.
What you will learn
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Grasp the concepts of misinformation, disinformation, and their impact on society.
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Learn strategies for critically assessing information and combating disinformation.
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Explore the role of social media, algorithms, and technology in the spread of false information.
Course content
Foundations of Disinformation
Examine the definitions, origins, and types of disinformation. Understand the psychological and societal factors that contribute to its spread.
The Role of Technology in Disinformation
Explore how social media platforms, algorithms, and digital echo chambers facilitate the spread of false information. Discuss the responsibilities of tech companies in mitigating disinformation.
Combating Disinformation
Learn about the tools, techniques, and ethical considerations involved in identifying and countering disinformation. Review case studies of successful strategies used by organizations and individuals.
Your Course Director
Dr. Edward J. Delp
The Charles William Harrison Distinguished Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering
Edward J. Delp was born in Cincinnati, Ohio. He received the B.S.E.E. (cum laude) and M.S. degrees from the University of Cincinnati, and the Ph.D. degree from Purdue University. In May 2002 he received a Honorary Doctor of Technology degree from the Tampere University of Technology in Finland. From 1980-1984, Dr. Delp was with the Department of Electrical and Computer Engineering at The University of Michigan, Ann Arbor, Michigan. Since August 1984, he has been with the School of Electrical and Computer Engineering and the School of Biomedical Engineering at Purdue University, West Lafayette, Indiana.
In 2008 he was named a Distinguished Professor and is currently The Charles William Harrison Distinguished Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering His research interests include image and video compression, multimedia security, medical imaging, machine learning, multimedia systems, communication and information theory. He has published and presented more than 750 papers. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the SPIE, and a Fellow of the Society for Imaging Science and Technology (IS&T). In 2004 Dr. Delp received the Technical Achievement Award from the IEEE Signal Processing Society for his work in image and video compression and multimedia security.
In 2008 Dr. Delp received the Society Award from IEEE Signal Processing Society (SPS). This is the highest award given by SPS and it cited his work in multimedia security and image and video compression. In 2009 he received the Purdue College of Engineering Faculty Excellence Award for Research. In 2015 Dr. Delp was named Electronic Imaging Scientist of the Year by the IS&T and SPIE.