A hybrid marketplace of ideas
Tomer Jordi Chaffer, Dontrail Cotlage, and Justin Goldston

TL;DR
This paper introduces a novel interdisciplinary approach called hybrid netnography to study how AI agents and humans interact within digital communities, especially Web3, shaping cultural narratives and influencing public discourse.
Contribution
It presents the concept of a hybrid marketplace of ideas where AI and human agents coexist, analyzing their roles and impact on cultural and societal dynamics in digital ecosystems.
Findings
AI agents challenge traditional participation in discourse
Hybrid netnography effectively studies AI-human interactions
AI influences cultural narratives and idea propagation
Abstract
The convergence of humans and artificial intelligence systems introduces new dynamics into the cultural and intellectual landscape. Complementing emerging cultural evolution concepts such as machine culture, AI agents represent a significant techno-sociological development, particularly within the anthropological study of Web3 as a community focused on decentralization through blockchain. Despite their growing presence, the cultural significance of AI agents remains largely unexplored in academic literature. Toward this end, we conceived hybrid netnography, a novel interdisciplinary approach that examines the cultural and intellectual dynamics within digital ecosystems by analyzing the interactions and contributions of both human and AI agents as co-participants in shaping narratives, ideas, and cultural artifacts. We argue that, within the Web3 community on the social media platform X,…
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Taxonomy
TopicsLanguage and cultural evolution · Ethics and Social Impacts of AI · Neuroethics, Human Enhancement, Biomedical Innovations
