Artificial Intelligence as a Tool for Reading Promotion

Abstract

The purpose of the article is to explore the possibilities of using artificial intelligence (AI) technologies in the promotion of reading in public libraries. The research methodology is based on the use of a set of methods, in particular: content analysis of literary sources to highlight key areas of AI application; systematisation, in particular to identify mechanisms and metrics of AI effectiveness in reading promotion (behavioural, content, social and communication); modelling, in particular, the hypothetical impact of AI campaigns on reading activity based on empirical and analytical data. Scientific novelty. The main areas of AI use in public libraries for reading promotion are systematised and classified, including recommendation systems, chatbots, generative content systems and algorithmic marketing tools. A comprehensive model for assessing the effectiveness of AI campaigns in reading promotion is proposed. Conclusions. The digitalisation of the library sector stimulates the search for innovative methods of promoting reading, among which AI technologies occupy a special place. The use of AI in libraries increases reader engagement, reduces book search time, improves personalisation and communication, contributes to the expansion of digital services and increased trust in recommendations. To assess the effectiveness of AI campaigns, a model is proposed focused on three blocks of metrics: behavioural (CTR of recommendations, conversion ‘offer – reading’, repeat visits), content (relevance, diversity, quality of annotations), social and communication (audience reach, interaction in social networks, satisfaction with the service). Despite the potential, there is a lack of empirical data on the quantitative impact of AI on readers, which determines the need for further research and increased attention to the development of digital competencies of librarians and the strategic use of data.