Design of a Web Application for Fact-checking Support Integrating Functionalities of Artificial Intelligence

Nowadays, we often come across the concept of information overload. Information overload means overloading a person with a large amount of information that is redundant or irrelevant to him. However, there is also false information, and the great amount of information makes it difficult for people to verify the validity of each one. Verification is very time-consuming and laborious, which is why an international project for the EU called CIMPLE was created. In this project the University of Economics in Prague is actively involved. Thus, people from the VŠE are collaborating to develop artificial intelligence applications that can search and cluster relevant claims for verification, summarise reports on claim verification, track expert arguments and the experts themselves to support verification. The aim of this thesis is to develop and test prototype of a user interface with a friendly UX that integrates the AI functionalities to support fact-checking. The thesis will follow the Design Science Research methodology and the UI design process will also be based on the iterative Design Thinking process framework. The final part of the work will prepare the developed AI for implementation in the form of the final web application, which will make the work easier and simpler especially for the fact-checkers themselves. The user interface of the web application will also benefit the CIMPLE project itself, whose artificial intelligence functionalities will be made available to end users thanks to the implementation following this work.