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How Voters Decide: Information Processing in Election Campaigns
Abstract
This book attempts to redirect the field of voting behavior research by proposing a paradigm-shifting framework for studying voter decision making. An innovative experimental methodology is presented for getting 'inside the heads' of citizens as they confront the overwhelming rush of information from modern presidential election campaigns. Four broad theoretically-defined types of decision strategies that voters employ to help decide which candidate to support are described and operationally-defined. Individual and campaign-related factors that lead voters to adopt one or another of these strategies are examined. Most importantly, this research proposes a new normative focus for the scientific study of voting behavior: we should care about not just which candidate received the most votes, but also how many citizens voted correctly - that is, in accordance with their own fully-informed preferences.
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Cited by
Red Media, Blue Media: Evidence of Ideological Selectivity in Media Use
Iyengar, S., & Hahn, K. S. (2009) · Journal of Communication · doi:10.1111/j.1460-2466.2008.01402.x · Cited by 1,940
Tweeting From Left to Right: Is Online Political Communication More Than an Echo Chamber?
Barberá, P., Jost, J. T., Nagler, J., Tucker, J. A., & Bonneau, R. (2015) · Psychological Science · doi:10.1177/0956797615594620 · Cited by 1,472
Myopic Voters and Natural Disaster Policy
HEALY, A., & MALHOTRA, N. (2009) · American Political Science Review · doi:10.1017/s0003055409990104 · Cited by 931
Elite Influence on Public Opinion in an Informed Electorate
BULLOCK, J. G. (2011) · American Political Science Review · doi:10.1017/s0003055411000165 · Cited by 777
Ideological Asymmetries and the Essence of Political Psychology
Jost, J. T. (2017) · Political Psychology · doi:10.1111/pops.12407 · Cited by 696
Metadata
- Authors
- Lau, R. R., & Redlawsk, D. P.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2006-06-26
- OpenAlex
- W4214622610
- Cited by
- 526
- References
- 0
- FWCI
- 12.18
- Type
- book
- Language
- en
- Open access
- closed
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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.
