UW-Green Bay Computer Science students publish article at 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference

UW-Green Bay students, Ethan Preu and Mark Jackson, and Assistant Prof. Nazim Choudhury recently co-published an article in ‘2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference.’ The article entitled “Perception vs. Reality: Understanding and Evaluating the Impact of Synthetic Image Deepfakes over College Students” focuses on deepfake technology.

Here is a brief overview: Deepfakes technology uses a form of artificial intelligence called deep learning to swap faces in images, videos, and digital content to make realistic-looking fake media. In spite of its advantages in the entrainment world, unfortunately, it has the potential to be used for malicious purposes. Research suggested that alongside legislation and anti-Deepfake technology, both education and training including the usage of synthetic media are required to address its challenges and raise awareness so that people can become more critical in detection when evaluating these contents. To educate and raise awareness among college-going students, the researchers conducted a pilot survey study on undergraduate students by utilizing both synthetic and real images. Their objective was to understand the human cognition and perception demonstrated by the literate population in detecting Deepfake media with their bare eyes. Their study was supported by the IRB protocol (protocol # 21-FALL-23) at UW-Green Bay.