The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
The Dynamics of Public Attention: Agenda-Setting Theory Meets Big Data
Open accessAbstract
Researchers have used surveys and experiments to better understand communication dynamics, but confront consistent distortion from self-report data. But now both digital exposure and resulting expressive behaviors (such as tweets) are potentially accessible for direct analysis with important ramifications for the formulation of communication theory. We utilize “big data” to explore attention and framing in the traditional and social media for 29 political issues during 2012. We find agenda setting for these issues is not a one-way pattern from traditional media to a mass audience, but rather a complex and dynamic interaction. Although the attentional dynamics of traditional and social media are correlated, evidence suggests that the rhythms of attention in each respond to a significant degree to different drummers.
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Citations
Cites
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
Framing: toward clarification of a fractured paradigm
Entman, R. M. (1993) · Journal of Communication · doi:10.1111/j.1460-2466.1993.tb01304.x · Cited by 16,203
The Nature and Origins of Mass Opinion
Zaller, J. R. (1992) · doi:10.1017/cbo9780511818691 · Cited by 7,785
The Structural Transformation of the Public Sphere
(2006) · Habermas · doi:10.4324/9780203020166-5 · Cited by 4,779
Investigating Causal Relations by Econometric Models and Cross-Spectral Methods
Granger, C. W. J. (2010) · Essays in Econometrics · doi:10.1017/cbo9780511753978.002 · Cited by 4,762
Cited by
Vargo, C. J., Guo, L., & Amazeen, M. A. (2018) · New Media & Society · doi:10.1177/1461444817712086 · Cited by 624
Conway, B. A., Kenski, K., & Wang, D. (2015) · Journal of Computer-Mediated Communication · doi:10.1111/jcc4.12124 · Cited by 395
Quantifying the power and consequences of social media protest
Freelon, D., McIlwain, C., & Clark, M. (2018) · New Media & Society · doi:10.1177/1461444816676646 · Cited by 391
A Media Sociology for the Networked Public Sphere: The Hierarchy of Influences Model
Reese, S. D., & Shoemaker, P. J. (2016) · Mass Communication and Society · doi:10.1080/15205436.2016.1174268 · Cited by 355
Jang, S. M., & Hart, P. S. (2015) · Global Environmental Change · doi:10.1016/j.gloenvcha.2015.02.010 · Cited by 334
Metadata
- Authors
- Russell Neuman, W., Guggenheim, L., Mo Jang, S., & Bae, S. Y.
- Venue
- Journal of Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2014-03-26
- Volume
- 64
- Issue
- 2
- Pages
- 193-214
- ISSN
- 0021-9916 (ISSN-L)
- OpenAlex
- W1790330014
- Cited by
- 624
- References
- 5
- FWCI
- 108.36
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Russell Neuman, W., Guggenheim, L., Mo Jang, S., & Bae, S. Y. (2014). The Dynamics of Public Attention: Agenda-Setting Theory Meets Big Data. Journal of Communication. https://doi.org/10.1111/jcom.12088
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