Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 972

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Striking a Responsive Chord: How Political Ads Motivate and Persuade Voters by Appealing to Emotions

Brader, Ted·2005·American Journal of Political Science

Abstract

Politicians routinely appeal to the emotions of voters, a practice critics claim subverts the rational decision making on which democratic processes properly rest. But we know little about how emotional appeals actually influence voting behavior. This study demonstrates, for the first time, that political ads can change the way citizens get involved and make choices simply by using images and music to evoke emotions. Prior research suggests voters behave differently in different emotional states but has not established whether politicians can use campaigns to manipulate emotions and thereby cause changes in political behavior. This article uses two experiments conducted during an actual election to show that: (1) cueing enthusiasm motivates participation and activates existing loyalties; and (2) cueing fear stimulates vigilance, increases reliance on contemporary evaluations, and facilitates persuasion. These results suggest campaigns achieve their goals in part by appealing to emotions, and emotional appeals can promote democratically desirable behavior.

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 · 10.1111/j.0092-5853.2005.00130.x

Cites

3 of 3 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 3 references

Cited by

See all 972

Metadata

Authors
Brader, T.
Venue
American Journal of Political Science
Publisher
Wiley
Published
2005-03
Volume
49
Issue
2
Pages
388-405
ISSN
  • 0092-5853 (ISSN-L)
  • 1540-5907
OpenAlex
W1989261819
Cited by
972
References
3
FWCI
77.17
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: Striking a Responsive Chord: How Political Ads Motivate and Persuade Voters by Appealing to Emotions. https://app.cochat.ai/papers/10.1111/j.0092-5853.2005.00130.x
The paper
Brader, T. (2005). Striking a Responsive Chord: How Political Ads Motivate and Persuade Voters by Appealing to Emotions. American Journal of Political Science. https://doi.org/10.1111/j.0092-5853.2005.00130.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.