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Cited by 951

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Artificial intelligence and communication: A Human–Machine Communication research agenda

Guzman, Andrea L, Lewis, Seth C·2020·New Media & Society
DOI 10.1177/1461444819858691
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Abstract

Artificial intelligence (AI) and people’s interactions with it—through virtual agents, socialbots, and language-generation software—do not fit neatly into paradigms of communication theory that have long focused on human–human communication. To address this disconnect between communication theory and emerging technology, this article provides a starting point for articulating the differences between communicative AI and previous technologies and introduces a theoretical basis for navigating these conditions in the form of scholarship within human–machine communication (HMC). Drawing on an HMC framework, we outline a research agenda built around three key aspects of communicative AI technologies: (1) the functional dimensions through which people make sense of these devices and applications as communicators, (2) the relational dynamics through which people associate with these technologies and, in turn, relate to themselves and others, and (3) the metaphysical implications called up by blurring ontological boundaries surrounding what constitutes human, machine, and communication.

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Citations

Cites

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Cited by

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Metadata

Authors
Guzman, A. L., & Lewis, S. C.
Venue
New Media & Society
Publisher
SAGE Publications
Published
2019-07-04
Volume
22
Issue
1
Pages
70-86
ISSN
  • 1461-4448 (ISSN-L)
  • 1461-7315
DOI
10.1177/1461444819858691
OpenAlex
W2955088691
Cited by
951
References
6
FWCI
67.12
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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