Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 374

The DOI matches its Crossref record.

The Fox News Effect: Media Bias and Voting

Open access
DellaVigna, Stefano, Kaplan, Ethan·2006·National Bureau of Economic Research

Abstract

Does media bias affect voting?We address this question by looking at the entry of Fox News in cable markets and its impact on voting.Between October 1996 and November 2000, the conservative Fox News Channel was introduced in the cable programming of 20 percent of US towns.Fox News availability in 2000 appears to be largely idiosyncratic.Using a data set of voting data for 9,256 towns, we investigate if Republicans gained vote share in towns where Fox News entered the cable market by the year 2000.We find a significant effect of the introduction of Fox News on the vote share in Presidential elections between 1996 and 2000.Republicans gain 0.4 to 0.7 percentage points in the towns which broadcast Fox News.The results are robust to town-level controls, district and county fixed effects, and alternative specifications.We also find a significant effect of Fox News on Senate vote share and on voter turnout.Our estimates imply that Fox News convinced 3 to 8 percent of its viewers to vote Republican.We interpret the results in light of a simple model of voter learning about media bias and about politician quality.The Fox News effect could be a temporary learning effect for rational voters, or a permanent effect for voters subject to non-rational persuasion.

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 · 10.3386/w12169

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.

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

Cited by

See all 374

Metadata

Authors
DellaVigna, S., & Kaplan, E.
Venue
National Bureau of Economic Research
Published
2006-04
OpenAlex
W3124435147
Cited by
374
References
0
Type
report
Language
en
Open access
green

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: The Fox News Effect: Media Bias and Voting. https://app.cochat.ai/papers/10.3386/w12169
The paper
DellaVigna, S., & Kaplan, E. (2006). The Fox News Effect: Media Bias and Voting. National Bureau of Economic Research. https://doi.org/10.3386/w12169

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.