Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 253

The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.

Populists Prefer Social Media Over Talk Shows: An Analysis of Populist Messages and Stylistic Elements Across Six Countries

Open access
Ernst, Nicole, Blassnig, Sina, Engesser, Sven, Büchel, Florin, Esser, Frank·2019·Social Media + Society

Abstract

For studying populism in a hybrid and high-choice media environment, the comparison of various media channels is especially instructive. We argue that populism-related communication is a combination of key messages (content) and certain stylistic devices (form), and we compare their utilization by a broad range of political actors on Facebook, Twitter, and televised talk shows across six countries (CH, DE, FR, IT, UK, and US). We conducted a content analysis of social media and talk show statements ( N = 2067) from 31 parties during a nonelection period of 3 months in 2015. We place special emphasis on stylistic devices and find that they can be grouped into three dimensions—equivalent to three dimensions used for populist key messages. We further find that political parties are generally more inclined to use populism-related communication on Facebook and Twitter than in political talk shows and that both new challenger parties and extreme parties use higher amounts of populist key messages and style elements.

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 · 10.1177/2056305118823358

Cites

43 of 43 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 43 references

Cited by

See all 253

Metadata

Authors
Ernst, N., Blassnig, S., Engesser, S., Büchel, F., & Esser, F.
Venue
Social Media + Society
Published
2019-01
Volume
5
Issue
1
ISSN
2056-3051 (ISSN-L)
OpenAlex
W2910401722
Cited by
253
References
43
FWCI
99.42
Type
journal article
Language
en
Open access
gold

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: Populists Prefer Social Media Over Talk Shows: An Analysis of Populist Messages and Stylistic Elements Across Six Countries. https://app.cochat.ai/papers/10.1177/2056305118823358
The paper
Ernst, N., Blassnig, S., Engesser, S., Büchel, F., & Esser, F. (2019). Populists Prefer Social Media Over Talk Shows: An Analysis of Populist Messages and Stylistic Elements Across Six Countries. Social Media + Society. https://doi.org/10.1177/2056305118823358

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.