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The Heuristic-Systematic Model of Social Information Processing
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Citations
Cited by
Persuasive Systems Design: Key Issues, Process Model, and System Features
Oinas-Kukkonen, H., & Harjumaa, M. (2009) · Communications of the Association for Information Systems · doi:10.17705/1cais.02428 · Cited by 1,663
Zhang, K. Z. K., Zhao, S. J., Cheung, C. M. K., & Lee, M. K. O. (2014) · Decision Support Systems · doi:10.1016/j.dss.2014.08.005 · Cited by 781
The gateway belief model: a large-scale replication
van der Linden, S., Leiserowitz, A., & Maibach, E. (2019) · Journal of Environmental Psychology · doi:10.1016/j.jenvp.2019.01.009 · Cited by 262
Shin, D., Koerber, A., & Lim, J. S. (2025) · New Media & Society · doi:10.1177/14614448241234040 · Cited by 137
Investigating tourists' risk information processing
Aliperti, G., & Cruz, A. M. (2019) · Annals of Tourism Research · doi:10.1016/j.annals.2019.102803 · Cited by 92
Implicit and explicit training in the mitigation of cognitive bias through the use of a serious game
Dunbar, N. E., Miller, C. H., Adame, B. J., Elizondo, J., Wilson, S. N., Lane, B. L., Kauffman, A. A., Bessarabova, E., Jensen, M. L., Straub, S. K., et al. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.04.053 · Cited by 83
The influence of B to B social media message features on brand engagement: A fluency perspective
McShane, L., Pancer, E., & Poole, M. (2019) · Journal of Business-to-Business Marketing · doi:10.1080/1051712x.2019.1565132 · Cited by 82
Guest editorial: investigating the effect of the physical context on customer experience
Bruce, H. L., Krolikowska, E., & Rooney, T. (2023) · Journal of Services Marketing · doi:10.1108/jsm-05-2023-0163 · Cited by 17
Metadata
- Authors
- TODOROV, A., CHAIKEN, S., & HENDERSON, M. D.
- Venue
- The Persuasion Handbook: Developments in Theory and Practice
- Publisher
- SAGE Publications, Inc.
- Published
- 2002
- Pages
- 195-212
- OpenAlex
- W2488917295
- Cited by
- 311
- References
- 0
- FWCI
- 7.13
- Type
- book chapter
- Language
- en
- Open access
- closed
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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.
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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.