The DOI matches its Crossref record.
Information Flow and the Stability of Partisan Attitudes
Abstract
There is something of a paradox in the findings of public opinion research that those individuals who shift their political position from one election to another frequently have less information about the political situation and the issues than persons whose attitudes and positions remain relatively unchanged. This runs contrary to the common assumption that changes in political attitudes and behavior occur in response to communication of information and arguments about the principal candidates and the issues on which they are divided. Here is an extended discussion of the question.
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Citations
Cited by
Knowing and Caring about Politics: Gender and Political Engagement
Verba, S., Burns, N., & Schlozman, K. L. (1997) · The Journal of Politics · doi:10.2307/2998592 · Cited by 940
Political ignorance and collective policy preferences
Gilens, M. (2001) · American Political Science Review · doi:10.1017/s0003055401002222 · Cited by 764
Evidence of the Long-Term Persistence of Adults' Political Predispositions
Sears, D. O., & Funk, C. L. (1999) · The Journal of Politics · doi:10.2307/2647773 · Cited by 580
Remote Control: How the Media Sustain Authoritarian Rule in China
Stockmann, D., & Gallagher, M. E. (2011) · Comparative Political Studies · doi:10.1177/0010414010394773 · Cited by 575
Feezell, J. T. (2018) · Political Research Quarterly · doi:10.1177/1065912917744895 · Cited by 447
Metadata
- Authors
- Converse, P. E.
- Venue
- Public Opinion Quarterly
- Publisher
- Oxford University Press (OUP)
- Published
- 1962
- Volume
- 26
- Issue
- 4
- Pages
- 578
- ISSN
- 0033-362X (ISSN-L)
- OpenAlex
- W2140252845
- Cited by
- 544
- References
- 0
- FWCI
- 27.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Converse, P. E. (1962). Information Flow and the Stability of Partisan Attitudes. Public Opinion Quarterly. https://doi.org/10.1086/267129
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
