About the Project

The goal of the "DeepFake Monitor" project was to create a system for monitoring social media to identify and collect data on DeepFake content. The project focused on actively searching for and documenting instances of DeepFakes. The task of the project participants was to collect, catalog, and analyze data on DeepFakes that could be used to improve existing AI tools designed to detect manipulated content. 

The expected outcome was also to increase public awareness of problems associated with DeepFake content and to promote critical thinking in the context of social media.

 

Scope

Students used a set of monitoring and advanced search tools to scan popular social media platforms (such as Facebook, Twitter, Instagram, TikTok) for potential DeepFakes. Teams conducted analyses of various online sources where DeepFakes might appear. After selecting sources, the teams created special web bots, known as crawlers, which automatically searched these sites to find DeepFake materials. These crawlers collected data and transmitted it for further analysis. Each identified DeepFake was recorded along with metadata such as source, publication date, estimated reach, and a brief description of the content and context. This data was organized to facilitate further analysis. Based on the collected data, students prepared reports analyzing trends, techniques used in creating DeepFakes, and their impact on society.

Main action steps

•  Monitoring Social Media
•  Data Collection and Cataloging
• Analysis and Reporting

 

Results:

•  Building a valuable database on DeepFakes, which will serve as an educational and research resource for scientists and developers working on AI technologies. 
• Increasing public awareness of issues related to DeepFake content and promoting critical thinking in the context of social media. 
•  Preparing students for active participation in the discourse on ethics and responsibility in the era of advanced image and video manipulation technologies.

 

 

Meeting at IDENTT headquarters in Wrocław

To summarize the DeepFake Monitor project, Paweł Narolski, Head of Research and Development at IDENTT, invited students and representatives of the Science Club Solvro to a meeting at the company's headquarters in Wrocław. The meeting was also attended by the CEO - Jan Szajda. 

Students and representatives of KN Solvro shared their conclusions and reflections on the project, summarized their activities, and talked about the challenges they faced during the project work. Both students and project coordinators from KN Solvro received certificates and gadgets. At the end, the teams were given a tour of the IDENTT office.

 

Certificates for coordinators from KN Solvro

Each project participant received an official certificate confirming their acquired skills.

Team

DeepFake Monitor is a project created by students of the Cybersecurity program at Wrocław University of Science and Technology in collaboration with the company IDENTT. The coordinators of the students' work and those collaborating with IDENTT were representatives of KN Solvro, including: Wiktoria Mróz, Łukasz Lenkiewicz, Oleksii Furman, and Wojciech Cebula. 

Composition of project teams from the Cybersecurity program: 
The two project teams consisted of third-year undergraduate students in the Cybersecurity program:
Team I: Bartłomiej Baut, Konrad Bik, Konrad Kłoniecki, Krzysztof Mola, Joanna Turkiewicz, Jakub Ziontek
Team II: Marta Bołd, Bartosz Prysak, Marta Mikołajczyk, Aleksandra Tomaszek, Andżelika Korcz