The DOI matches its Crossref record; 62 of the 65 references it cites were found in a registry or an index.
Uses and Grats 2.0: New Gratifications for New Media
Abstract
This article responds to recent calls for conceptual and methodological refinement, issued by uses-and-gratifications scholars (Rubin, 2009 Rubin, A. M. 2009. “The uses-and-gratifications perspective on media effects.”. In Media effects: Advances in theory and research , 3rd ed. Edited by: Bryant, J. and Oliver, M. B. 165–184. New York, NY: Routledge.. [Google Scholar]; Ruggiero, 2000 Ruggiero, T. E. 2000. Uses and gratifications theory in the 21st century. Mass Communication & Society, 3: 3–37. doi: 10.1207/S15327825MCS0301_02[Taylor & Francis Online] , [Google Scholar]), for studying emergent media. Noting that studies on the uses of the Internet have generated a list of gratifications that are remarkably similar to those obtained from older media, it identifies two measurement artifacts—(1) measures designed for older media are used to capture gratifications from newer media; and (2) gratifications are conceptualized and operationalized too broadly (e.g., information-seeking), thus missing the nuanced gratifications obtained from newer media. It challenges the notion that all gratifications are borne out of innate needs, and proposes that affordances of media technology can shape user needs, giving rise to new and distinctive gratifications. A sample of new gratifications and potential measures for those are provided.
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“This affordance-based turn recognized that gratifications emerge not only from media content but from modalities of interaction, including modality, agency, interactivity, and navigability.”
From Intimate Strangers by Design: A Uses and Gratifications Analysis of AI Companionship (2026) · cites this paper as Sundar & Limperos, 2013
In the citing paper
“a shift consistent with affordance-based extensions of U&G (Sundar & Limperos, 2013) but intensified by the AI's capacity to calibrate responses to individual users in real time.”
From Intimate Strangers by Design: A Uses and Gratifications Analysis of AI Companionship (2026) · cites this paper as Sundar & Limperos, 2013
In the citing paper
“As media environments shifted from mass broadcasting to digital and interactive platforms, U&G scholars extended the framework to incorporate technological affordances that enable or constrain gratification attainment (Sundar & Limperos, 2013).”
From Intimate Strangers by Design: A Uses and Gratifications Analysis of AI Companionship (2026) · cites this paper as Sundar & Limperos, 2013
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“Historically, U&G research has been criticized on the grounds that it is too audience-centered and does not consider how the technology itself can influence the selection of—and gratifications obtained from using—media (Lichenstein & Rosenfeld, 1983; Ruggiero, 2000).”
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Metadata
- Authors
- Sundar, S. S., & Limperos, A. M.
- Affiliations
- Pennsylvania State University (US)
- University of Kentucky (US)
- ORCID
- Sundar, S. Shyam
- Venue
- Journal of Broadcasting & Electronic Media
- Publisher
- Informa UK Limited
- Published
- 2013-10
- Volume
- 57
- Issue
- 4
- Pages
- 504-525
- ISSN
- 0883-8151 (ISSN-L)
- 1550-6878
- OpenAlex
- W2020266303
- Cited by
- 1,070
- References
- 65
- Citations by year
- 2026: 125 · 2025: 128 · 2024: 87 · 2023: 109 · 2022: 103 · 2021: 127 · 2020: 74 · 2019: 70 · 2018: 96 · 2017: 49 · 2016: 51 · 2015: 33 · 2014: 17
- FWCI
- 44.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Broadcasting & Electronic Media (publishedVersion)
- Topics
- Social Sciences › Communication › Media and Digital Communication
- Social Sciences › Communication › News Media Framing and Political Communication
- Social Sciences › Communication › Media Influence and Health
- Keywords
- uses and gratifications theory, new media, media gratifications, measurement artifacts, media affordances, information seeking, user needs, internet use
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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