ALGORITHMIC CONTENT MODERATION AND FREEDOM OF EXPRESSION IN THE AGE OF ARTIFICIAL INTELLIGENCE

Rezumat

This study examines the relationship between algorithmic content moderation and freedom of expression in the age of artificial intelligence, highlighting the balance between protecting users from harmful content and safeguarding legitimate speech. Its main objective is to analyse how algorithmic systems shape communication practices, individual autonomy, identity formation, intergroup relations and the distribution of visibility in the digital public sphere.

The research is predominantly theoretical and interdisciplinary, drawing on conceptual and interpretive analysis from the perspectives of anthropology and the philosophy of technology.

The findings show that algorithms play an active role in structuring communication, selecting information and defining the norms of acceptable discourse. Content personalisation fosters filter bubbles, fragments the public sphere and reduces exposure to diverse perspectives. At the same time, automated classification may both allow harmful content to circulate and restrict legitimate expression. The study underlines the importance of a balanced moderation model that combines technological efficiency with human oversight.