The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
A Cognitive-Functional Model for the Effects of Discrete Negative Emotions on Information Processing, Attitude Change, and Recall
Abstract
Drawing from cognitive response models of persuasion, functional emotion theories, and theoretical and empirical work on the influence of message-relevant and message-irrelevant affect on attitudes, this paper presents a model of persuasion that suggests that discrete, message-induced negative emotions influence attitudes through a complex process that centers around the notions of motivated attention and motivated processing. Emotion type, expectation of the message containing reassuring information, argument strength, presence of peripheral cues, emotional intensity, and emotion placement within a message are expected to mediate information processing depth, message acceptance or rejection, and information recall. This model attempts to bridge the gap between the “emotional” and “rational” approaches to persuasion, and it extends current theorizing in the area of emotion and attitude change by (a) linking the concepts of motivated attention and motivated processing to that of expectation of message reassurance, and (b) considering the persuasive effects of negative emotions other than fear, like anger, disgust, sadness, and guilt.
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
Cites
Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334
Lazarus, R. S. (1991) · doi:10.1093/oso/9780195069945.001.0001 · Cited by 12,691
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822
Feeling and thinking: Preferences need no inferences.
Zajonc, R. B. (1980) · American Psychologist · doi:10.1037/0003-066x.35.2.151 · Cited by 8,094
An attributional theory of achievement motivation and emotion
Weiner, B. (1985) · Psychological Review · doi:10.1037/0033-295x.92.4.548 · Cited by 7,846
The Cognitive Structure of Emotions
Ortony, A., Clore, G. L., & Collins, A. (1988) · doi:10.1017/cbo9780511571299 · Cited by 6,208
Bower, G. H. (1981) · American Psychologist · doi:10.1037/0003-066x.36.2.129 · Cited by 4,154
Putting the fear back into fear appeals: the extended parallel process model
Witte, K. (1992) · Communication Monographs · doi:10.1080/03637759209376276 · Cited by 3,880
Mood and judgment: The affect infusion model (AIM).
Forgas, J. P. (1995) · Psychological Bulletin · doi:10.1037/0033-2909.117.1.39 · Cited by 3,470
Guilt: An interpersonal approach
Baumeister, R. F., Stillwell, A. M., & Heatherton, T. F. (1994) · Psychological Bulletin · doi:10.1037/0033-2909.115.2.243 · Cited by 1,884
Cited by
Nabi, R. L. (2003) · Communication Research · doi:10.1177/0093650202250881 · Cited by 668
Self-citationWeeks, B. E. (2015) · Journal of Communication · doi:10.1111/jcom.12164 · Cited by 531
The nature of psychological reactance revisited: A meta-analytic review
Rains, S. A. (2013) · Human Communication Research · doi:10.1111/j.1468-2958.2012.01443.x · Cited by 511
The Extended Parallel Process Model: Illuminating the Gaps in Research
Popova, L. (2012) · Health Education & Behavior · doi:10.1177/1090198111418108 · Cited by 361
Hasell, A., & Weeks, B. E. (2016) · Human Communication Research · doi:10.1111/hcre.12092 · Cited by 246
Metadata
- Authors
- Nabi, R. L.
- Venue
- Communication Theory
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-08
- Volume
- 9
- Issue
- 3
- Pages
- 292-320
- ISSN
- 1050-3293 (ISSN-L)
- 1468-2885
- OpenAlex
- W2095276849
- Cited by
- 537
- References
- 14
- FWCI
- 8.54
- Type
- journal article
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Cognitive-Functional Model for the Effects of Discrete Negative Emotions on Information Processing, Attitude Change, and Recall. https://app.cochat.ai/papers/10.1111/j.1468-2885.1999.tb00172.x
- The paper
- Nabi, R. L. (1999). A Cognitive-Functional Model for the Effects of Discrete Negative Emotions on Information Processing, Attitude Change, and Recall. Communication Theory. https://doi.org/10.1111/j.1468-2885.1999.tb00172.x
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.