A Scholarly Definition of Artificial Intelligence (AI): Advancing AI as a Conceptual Framework in Communication Research
Abstract
Research on Artificial Intelligence (AI) in communication research is gaining broader interest. This interdisciplinary interest has yet to be supported by a systematic scholarly definition and by a holistic theoretical framework in communication research. First, combining prior theoretical efforts from diverse disciplines in the social sciences, especially journalism and communication, this study introduces a wide-ranging working AI scholarly definition in communication research as the tangible real-world capability of non-human machines or artificial entities to perform, task solve, communicate, interact, and act logically as it occurs with biological humans. We also propose its theoretical operationalization based on two dimensions: level of performance and level of autonomy, advancing an elementary conceptual framework drawing on AI’s levels of potential actions or performance the AI may accomplish, including 1) performing tasks, 2) taking decisions, and 3) making predictions; as well as AI’s level of autonomy, or the agency results contingent on the degrees of human input, interaction, or supervision involved.
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- Authors
- Gil de Zúñiga, H., Goyanes, M., & Durotoye, T.
- Affiliations
- Democracy Research Unit, Political Science, College of Law & Public Administration, University of Salamanca, Salamanca
- Universidad Carlos III de Madrid (ES)
- Pennsylvania State University (US)
- Venue
- Political Communication
- Publisher
- Informa UK Limited
- Published
- 2023-12-06
- Volume
- 41
- Issue
- 2
- Pages
- 317-334
- ISSN
- 1058-4609 (ISSN-L)
- 1091-7675
- OpenAlex
- W4389380302
- Cited by
- 198
- References
- 102
- Citations by year
- 2026: 82 · 2025: 77 · 2024: 28 · 2023: 11
- FWCI
- 18.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Political Communication (publishedVersion)
- Funders
- Spanish National Research Agency’s Program for the Generation of Knowledge and the Scientific and Technological Strengthening Research + Development
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Communication › Media Studies and Communication
- Keywords
- artificial intelligence, definition of artificial intelligence, conceptual framework, AI autonomy, AI agency, task performance, decision-making, prediction, human-AI interaction, journalism, communication research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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