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Cited by 989

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Resistance and Persuasion

·2004·Psychology Press eBooks

Abstract

Resistance and Persuasion is the first book to analyze the nature of resistance and demonstrate how it can be reduced, overcome, or used to promote persuasion. By examining resistance, and providing strategies for overcoming it, this new book generates insight into new facets of influence and persuasion. With contributions from the leaders in the field, this book presents original ideas and research that demonstrate how understanding resistance can improve persuasion, compliance, and social influence. Many of the authors present their research for the first time. Four faces of resistance are identified: reactance, distrust, scrutiny, and inertia. The concluding chapter summarizes the book's theoretical contributions and establishes a resistance-based research agenda for persuasion and attitude change. This new book helps to establish resistance as a legitimate sub-field of persuasion that is equal in force to influence. Resistance and Persuasion offers many new revelations about persuasion: *Acknowledging resistance helps to reduce it. *Raising reactance makes a strong message more persuasive. *Putting arguments into a narrative increases their influence. *Identifying illegitimate sources of information strengthens the influence of legitimate sources. *Looking ahead reduces resistance to persuasive attempts. This volume will appeal to researchers and students from a variety of disciplines including social, cognitive, and health psychology, communication, marketing, political science, journalism, and education.

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Metadata

Venue
Psychology Press eBooks
Published
2004-02-26
OpenAlex
W179781070
Cited by
989
References
0
FWCI
30.28
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Resistance and Persuasion. https://app.cochat.ai/papers/10.4324/9781410609816
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Resistance and Persuasion. (2004). Psychology Press eBooks. https://doi.org/10.4324/9781410609816

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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.