The DOI matches its Crossref record.
Spiral of Cynicism: The Press and the Public Good
Abstract
Why do some citizens vote while others do not? Why does less than half of the American voting public routinely show up at the polls? Why is it that the vast majority of political issues affecting our day-to-day lives fail to generate either public interest or understanding? These questions have troubled political scientists for decades. Here, Kathleen Hall Jamieson and Joseph N. Cappella provide the first conclusive evidence to date that it is indeed the manner in which the print and broadcast media cover political events and issues that fuels voter non-participation. This book illustrates precisely how the media’s heavy focus on the game of politics, rather than on its substance, starts a “spiral of cynicism” that directly causes an erosion of citizen interest and, ultimately, citizen participation. Having observed voters who watched and read different sets of reports—some saturated in strategy talk, others focused on the real issues—the authors show decisive links between the way in which the media covers campaigns’ and voters’ levels of cynicism and participation. By closely monitoring media coverage among sample audiences for both the recent mayoral race in Philadelphia and the national health care reform debate, the authors confront issues concerning the effects of issue-based and competitive-based political coverage. Finally, they address the question repeatedly asked by news editors, “Will the public read or watch an alternative media coverage that has more substance? ” The answer their findings so clearly reveal is “yes.” Spiral of Cynicism is a pioneering work that will urge the media to take a close look at how it covers political events and issues, as well as its degree of culpability in current voter dissatisfaction, cynicism, and non-participation. For, in these pages, a possible cure to such ills is just what Jamieson and Cappella have to offer. Moreover, their work is likely to redefine the terms of the very debate on how politics should be covered in the future.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Chong, D., & Druckman, J. N. (2007) · Annual Review of Political Science · doi:10.1146/annurev.polisci.10.072805.103054 · Cited by 3,071
Political Trust and Trustworthiness
Levi, M., & Stoker, L. (2000) · Annual Review of Political Science · doi:10.1146/annurev.polisci.3.1.475 · Cited by 2,190
A New Era of Minimal Effects? The Changing Foundations of Political Communication
Bennett, W. L., & Iyengar, S. (2008) · Journal of Communication · doi:10.1111/j.1460-2466.2008.00410.x · Cited by 1,558
A Theory of Framing and Opinion Formation in Competitive Elite Environments
Chong, D., & Druckman, J. N. (2007) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00331.x · Cited by 1,159
Political communication in a high-choice media environment: a challenge for democracy?
Van Aelst, P., Strömbäck, J., Aalberg, T., Esser, F., de Vreese, C., Matthes, J., Hopmann, D., Salgado, S., Hubé, N., Stępińska, A., et al. (2017) · Annals of the International Communication Association · doi:10.1080/23808985.2017.1288551 · Cited by 974
Political ignorance and collective policy preferences
Gilens, M. (2001) · American Political Science Review · doi:10.1017/s0003055401002222 · Cited by 764
The social psychology of protest
van Stekelenburg, J., & Klandermans, B. (2013) · Current Sociology · doi:10.1177/0011392113479314 · Cited by 740
The End of Framing as we Know it … and the Future of Media Effects
Cacciatore, M. A., Scheufele, D. A., & Iyengar, S. (2016) · Mass Communication and Society · doi:10.1080/15205436.2015.1068811 · Cited by 704
Consumer Demand for Cynical and Negative News Frames
Trussler, M., & Soroka, S. (2014) · The International Journal of Press/Politics · doi:10.1177/1940161214524832 · Cited by 334
Balmas, M. (2014) · Communication Research · doi:10.1177/0093650212453600 · Cited by 325
Negativity in political news: A review of concepts, operationalizations and key findings
Lengauer, G., Esser, F., & Berganza, R. (2012) · Journalism · doi:10.1177/1464884911427800 · Cited by 287
Has Cable Ended the Golden Age of Presidential Television?
Baum, M. A., & Kernell, S. (1999) · American Political Science Review · doi:10.2307/2585763 · Cited by 259
Online News Exposure and Trust in the Mainstream Media: Exploring Possible Associations
Tsfati, Y. (2010) · American Behavioral Scientist · doi:10.1177/0002764210376309 · Cited by 258
Papacharissi, Z., & de Fatima Oliveira, M. (2008) · The International Journal of Press/Politics · doi:10.1177/1940161207312676 · Cited by 251
Why They Don’t Trust the Media: An Examination of Factors Predicting Trust
Lee, T.-T. (2010) · American Behavioral Scientist · doi:10.1177/0002764210376308 · Cited by 243
Media frames of mental illnesses: The potential impact of negative frames
SIEFF, E. (2003) · Journal of Mental Health · doi:10.1080/0963823031000118249 · Cited by 221
Towards a pragma-linguistic framework for the study of sensationalism in news headlines
Molek-Kozakowska, K. (2013) · Discourse & Communication · doi:10.1177/1750481312471668 · Cited by 221
Borah, P. (2014) · Communication Research · doi:10.1177/0093650212449353 · Cited by 206
Why Americans Don’t Trust the Media: A Preliminary Analysis
Jones, D. A. (2004) · Harvard International Journal of Press/Politics · doi:10.1177/1081180x04263461 · Cited by 189
Feldman, L., Hart, P. S., & Milosevic, T. (2017) · Public Understanding of Science · doi:10.1177/0963662515595348 · Cited by 172
Ardèvol-Abreu, A., & Gil de Zúñiga, H. (2017) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699016654684 · Cited by 153
Bad News or Mad News? Sentiment Scoring of Negativity, Fear, and Anger in News Content
Soroka, S., Young, L., & Balmas, M. (2015) · The ANNALS of the American Academy of Political and Social Science · doi:10.1177/0002716215569217 · Cited by 128
Elite Polarization and Public Opinion: How Polarization Is Communicated and Its Effects
Robison, J., & Mullinix, K. J. (2016) · Political Communication · doi:10.1080/10584609.2015.1055526 · Cited by 124
Taha, S. A., Matheson, K., & Anisman, H. (2014) · Stress and Health · doi:10.1002/smi.2505 · Cited by 123
Political information repertoires and political participation
Wolfsfeld, G., Yarchi, M., & Samuel-Azran, T. (2016) · New Media & Society · doi:10.1177/1461444815580413 · Cited by 121
Banwart, M. C., Bystrom, D. G., & Robertson, T. (2003) · American Behavioral Scientist · doi:10.1177/0002764202238491 · Cited by 88
Controversy Undermines Support For State Mandates On The Human Papillomavirus Vaccine
Gollust, S. E., Dempsey, A. F., Lantz, P. M., Ubel, P. A., & Fowler, E. F. (2010) · Health Affairs · doi:10.1377/hlthaff.2010.0174 · Cited by 53
D'angelo, P. (2019) · The International Encyclopedia of Journalism Studies · doi:10.1002/9781118841570.iejs0021 · Cited by 48
Binder, A. R., Hillback, E. D., & Brossard, D. (2016) · Risk Analysis · doi:10.1111/risa.12462 · Cited by 38
Jang, S. M., & Oh, Y. W. (2016) · New Media & Society · doi:10.1177/1461444815583491 · Cited by 27
Impacts of Internet Use on Political Trust: New Evidence from China
Zhou, D., Deng, W., & Wu, X. (2020) · Emerging Markets Finance and Trade · doi:10.1080/1540496x.2019.1644161 · Cited by 22
Bucy, E. P., & Groshek, J. (2018) · New Media & Society · doi:10.1177/1461444817709281 · Cited by 12
Metadata
- Authors
- Cappella, J. N., & Jamieson, K. H.
- Publisher
- Oxford University PressNew York, NY
- Published
- 1997-05-01
- OpenAlex
- W4388402571
- Cited by
- 1,388
- References
- 0
- FWCI
- 37.41
- Type
- book
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.