AI-society relationship portrayed in the media: Multidisciplinary construction and analysis of named entity networks from news texts

• Pedro Henrique de Carvalho Godoy UNICAMP
• Ruben Interian UNICAMP

DOI: https://doi.org/10.5753/etc.2025.8915

Abstract

Artificial Intelligence (AI) is impacting society as a whole. This work creates and analyzes the network of connections between entities present in Brazilian news about AI, examining the most relevant entities to understand how this technology is publicly perceived. Named entity recognition and graph theory were applied to model the network and analyze it from a multidisciplinary perspective. The degree distribution of the vertices suggests a scale-free network structure, indicating the existence of a cumulative advantage effect in the network of entities. The findings demonstrate the effectiveness of interdisciplinary methods in interpreting the structure of the AI debate, highlighting how AI is perceived and discussed publicly.

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