AI in information processes: choice algorithmisation, restriction and responsible media consumption
-
Relevance of the project
Information and media consumption taking place in the digital environment is today in close connection with algorithms built on the principles of artificial intelligence, machine learning and other things, which in turn leads to the transformation of the media environment itself. The complex information space includes not only information produced by specialists, but also by amateurs in a voluntary collaboration called "participatory culture". In such a complex media environment, it is extremely difficult for an ordinary consumer to navigate, which makes it easier to manipulate the content of mass information services in order to obtain certain political and other effects.
Media research areas:
Studying the specifics of media consumption of fabricated information messages (fakes) in different communication environments and media platforms.
Development of recommendations for the creation of a public free online service for verification of textual information, detection of manipulative techniques and techniques of incorrect presentation of information in text messages, etc.
Investigating the degree of trust in the algorithms of automated information validation and recommendation services; examining the bias of the algorithms and how they set a framework for everyday information behaviour.
Project team
Tina Berezhnaya
Olga Dovbysh
