The use of AI-generated videos centered on the face raises various concerns among professionals and audiences due to the difficulty of providing coherent descriptive tools of their cultural significance. At the same time, the focus of artists and their audiences shifts from the art as a text to the collaboration process between artificial intelligence (AI) and the involved social actors. This raises significant concerns between policymakers and other social actors looking for guidelines for the appropriate use of AI as a (...) tool, collaborator or substitute for creative workers, which can have immediate and long-term impacts on society and culture. Semiotics of culture provides descriptive tools for understanding and evaluating artistic texts and their role in semiotic space, the semiosphere. This article addresses how Lotman’s theory can contribute to the methodology for analyzing AI-generated texts as dynamic models. The theoretical framework developed by Lotman in his research on artistic text, dynamic systems and culture can be applied to the studies of current shifts related to AI-generated arts. This paper looks at the reception of AI-generated videos focused on face representations. In doing so, it analyses the dynamic processes in the creation process of AI-generated videos through their reception in related texts. The findings of this article highlight how Lotman’s theoretical framework can contribute to the methodology to analyze the cultural dynamics evoked by AI-generated artistic texts. (shrink)

Social media (SM) influence young adults’ communication practices. Artificial Intelligence (AI) is increasingly used for making recommendations on SM. Yet, its effects on different generations of SM users are unknown. SM can use AI recommendations to sort texts and prioritize them, shaping users’ online and offline experiences. Current literature primarily addresses technological or human-user perspectives, overlooking cognitive perspectives. This research aims to propose methods for mapping users’ interactions with AI recommendations (AiRS) and analyzes how embodied interactions mediated by a digital (...) agent can lead to changes in social and cultural practices. For this, this work proposes a comparative analysis of central practices evoked by AI recommendations-mediated communication on SM among users in Italy, Estonia, and the Netherlands in the age category 18–26 years old. The data used in the comparative analysis was collected via semi-structured interviews and elaborated based on cognitive psychology and semiotics. This research highlights the contextual significance of AI recommendations as a mediator in creating new communication practices. Findings confirm that young adults often choose practices that would enhance their digital representations according to AiRS’ dominant patterns and categories. AiRS impacts individual interpretations and practices and can further affect social and cultural levels. (shrink)

The paper presents a biosemiotic approach to the study of the built environment, its representations and practices in social media. First, it outlines the main developments that make semiotics hold a significant position in the study of urban space and the built environment. It then goes on to overcome the limitations of the binary opposition paradigm: in particular, nature/culture is reconsidered as a category in which the two terms are in a relation of mutual participation rather than being exclusive to (...) each other. Following this, the paper explores three participatory categories that can be useful for the study of the built environment and its social media representations and practices: life/semiosis, natural environment/built environment, text/practice. Finally, it identifies five main topics representing the interplay between the natural and built environment: the interaction of nature and architecture, urban parks, urban agriculture, digital environmentalism and ecotourism. (shrink)