THE USE OF ARTIFICIAL INTELLIGENCE IN THE PROCESS OF VISUALIZING INFORMATION MATERIALS IN SOCIAL NETWORKS: PROBLEM STATEMENT

The prevalence and increasing accessibility of neural networks for generating visual content, coupled with their continuous development and consistently higher quality of generated output, make the man effective tool for elevating content with in social media communities and accelerating its creation. However, the use of such content faces numerous challenges. This article at tempts to describe these issues using the example of the mediagroup “Our Chelyabinsk”. The author employed methods such assurveying the administrators of the mediagroup “OurChelyabinsk”, participant observation, andanalyzing relevant scientific literature. Among the practical examples of generative content usage, the authors highlight: the generation of illustrative material forposts, the creation of creative video sequences, and the development of infographics and unique emojis. The challenges as sociated with using generative content include the following issues: alack of understanding regarding the specifics of working with neural networks, the ranking of generative material by social media “smart feeds,” usertrustingeneratedcontent, maintaining the corporate style of the mediacommunity, and the legal intricacies of using generated images. All these questions require fur ther scientific investigation, as wellas legislative and administrative development.