Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 382

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Affect and Persuasion: Emotional Responses to Public Service Announcements

DILLARD, JAMES PRICE, PECK, EUGENIA·2000·Communication Research

Abstract

An experiment was designed to examine the role of emotion in persuasion. In this study, 140 undergraduates viewed eight public service announcements (PSAs) and then reported on their cognitive, emotional, and attitudinal responses to each. Some participants were instructed to attend to their feelings and use them in evaluating the PSAs (heuristic-enabled condition), whereas others were told to dampen their feelings and not let their emotions influence their judgments of the PSAs (heuristic-disabled condition). After controlling for cognition, the data showed a unique and separate effect for each emotion on perceived message effectiveness. However, the manipulations produced no observable effect on the magnitude of association between emotion and perceived effectiveness. Effects of both emotion and cognition on attitude toward the issue were mediated by perceived message effectiveness. A second study showed that perceived effectiveness and liking for the message are distinct judgments. Effectiveness is the preferred measure for studying PSAs.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/009365000027004003

Cites

5 of 5 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 5 references

Cited by

See all 382

Metadata

Authors
DILLARD, J. P., & PECK, E.
Venue
Communication Research
Published
2000-08
Volume
27
Issue
4
Pages
461-495
ISSN
  • 0093-6502 (ISSN-L)
  • 1552-3810
OpenAlex
W3159318654
Cited by
382
References
5
FWCI
40.55
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: Affect and Persuasion: Emotional Responses to Public Service Announcements. https://app.cochat.ai/papers/10.1177/009365000027004003
The paper
DILLARD, J. P., & PECK, E. (2000). Affect and Persuasion: Emotional Responses to Public Service Announcements. Communication Research. https://doi.org/10.1177/009365000027004003

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.