Institutt for kommunikasjon og kultur

Social Media + Society forthcoming

The rise of generative artificial intelligence (AI), particularly advanced AI chatbots such as ChatGPT, has transformed human-AI interactions by providing unprecedentedly natural interaction environments. These developments have significantly heightened user perceptions of AI as human-like, making anthropomorphism, a tendency to attribute human traits to non-humans, increasingly prevalent. Despite the recognition of the rising anthropomorphism in these interaction modalities, little is known about how people anthropomorphize generative AI, especially in social media discourse. Using Twitter/X as a discursive space, we systematically analyze how users described and engaged with ChatGPT, identifying distinct categories and recurring forms of anthropomorphism. Findings reveal diverse anthropomorphic perceptions, including personification, emotional attributions, cognitive and human-like attributes, social interactions, and human-like personality traits. Building on the observation that social media platforms not only reflect but also actively shape and reinforce anthropomorphic narratives, this study raises important implications for trust, misinformation, user expectations, and human-AI interactions.

Tidsskrift for Norsk psykologforening (Psykologtidsskriftet)

En ny spørreundersøkelse på tvers av 58 land har undersøkt ulike typer motivasjon for voldelig ekstremisme.

Convergence. The International Journal of Research into New Media Technologies Doi: https://doi-org.bi.idm.oclc.org/10.1177/13548565261464938

This article investigates the intersection of generative Artificial Intelligence (AI) and the book industry, focusing on the use of copyrighted literary works for training large language models (LLMs). As LLMs require enormous volumes of content for training, published books and other media have become valuable sources of data. Many training datasets appear to have been assembled without authorization or transparency, raising acute legal, ethical and cultural questions. In this article, we provide a detailed empirical analysis of the Scandinavian content within the Books3 dataset, used to train multiple major AI systems, characterizing it by publication year, publisher, authorship, genre, and language. As comparatively small language markets situated outside of the main hubs for AI development, the Scandinavian countries provide a relevant context for exploring the local implications of global AI deployment. The findings are discussed through a theoretical lens drawing on Michel Serres’s concept of the “parasite.” We argue that the inclusion of Scandinavian books in Books3 is part of a multidimensional ecology of parasitic exchange. This framework interprets the relationship between AI developers, shadow libraries, and publishers as a cascade of information appropriation, signifying a reconfiguration of cultural production and ownership in the age of generative AI.

Government Information Quarterly: an international journal of information technology management, policies, and practices 43(3) Doi: https://doi.org/10.1016/j.giq.2026.102164

Corporate Communication Review 2(1) s. 26-26 Doi: https://doi.org/10.63904/ccr.v2i1.28

Measurement and evaluation (M&E) is central to demonstrating how corporate communication creates value for organizations. Despite decades of professional and academic efforts to establish standards and frameworks, studies suggest that practitioners continue to apply these inconsistently. This overview outlines key evaluation frameworks, highlights common pitfalls in implementation, and examines how contemporary developments such as digitalization and artificial intelligence (AI) are changing the field. We make the case that evaluation should be a management practice that supports learning, adaptation, and more informed decision-making.