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Cited by 331

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Seizing the moment: The presidential campaigns’ use of Twitter during the 2012 electoral cycle

Kreiss, Daniel·2016·New Media & Society

Abstract

Drawing on interviews with staffers from the 2012 Obama and Romney presidential campaigns and qualitative content analysis of their Twitter feeds, this article provides the first inside look at how staffers used the platform to influence the agendas and frames of professional journalists, as well as appeal to strong supporters. These campaigns sought to influence journalists in direct and indirect ways, and planned their strategic communication efforts around political events such as debates well in advance. Despite these similarities, staffers cite that Obama’s campaign had much greater ability to respond in real time to unfolding commentary around political events given an organizational structure that provided digital staffers with a high degree of autonomy. After analyzing the ways staffers discuss effective communication on the platform, this article argues that at extraordinary moments campaigns can exercise what Isaac Reed calls “performative power,” influence over other actors’ definitions of the situation and their consequent actions through well-timed, resonant, and rhetorically effective communicative action and interaction.

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Metadata

Authors
Kreiss, D.
Venue
New Media & Society
Published
2016-07-09
Volume
18
Issue
8
Pages
1473-1490
ISSN
  • 1461-4448 (ISSN-L)
  • 1461-7315
OpenAlex
W2151907069
Cited by
331
References
29
FWCI
64.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Seizing the moment: The presidential campaigns’ use of Twitter during the 2012 electoral cycle. https://app.cochat.ai/papers/10.1177/1461444814562445
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Kreiss, D. (2016). Seizing the moment: The presidential campaigns’ use of Twitter during the 2012 electoral cycle. New Media & Society. https://doi.org/10.1177/1461444814562445

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.