Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 2

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

#Populism on Twitter : statistical analysis of the correlation between tweet popularity and "populist" discursive features

Carrella, Fabio·2020·Brno studies in English
DOI 10.5817/bse2020-2-1
Open this paper in CoChat — free account

Abstract

Recent political events, such as the Brexit or Donald Trump's electoral success, have led to a proliferation of studies focusing on populism nature (Müller 2017;Mudde and Kaltwasser 2017).Part of the literature has also investigated communicative aspects of populism, highlighting how populists are benefitting from the use of social media (Bartlett 2014;Gerbaudo 2018).This research offers further insights on the subject by analyzing populist discourse on Twitter and exploring the correlation between the presence of linguistic features linked to populism, such as emotionalization, simplified rhetoric and intensified claims (Canovan 1999;Heinisch 2008), and tweet popularity.The use of linear mixed effects models revealed a positive correlation between the linguistic elements of interest and tweet popularity, not only in the populist sample, but also in the control group composed by establishment politicians.Surprisingly, reference tweets received more popularity than populist messages when the discursive features analyzed were present.

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 · 10.5817/bse2020-2-1

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Figures

Image 1
CC-BY-NC-ND · From the PDF
Image 2
CC-BY-NC-ND · From the PDF
Image 3
CC-BY-NC-ND · From the PDF
Image 4
CC-BY-NC-ND · From the PDF

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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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 37 references

Research works printed but not linked: 4

  1. [19] Gries, Stefan Th (2013) Statistics for Linguistics with R. Berlin: De Gruyter Mouton.
  2. [39] Müller, Jan-Werner (2017) What is Populism? Philadelphia: University of Pennsylvania Press.
  3. [51] Taggart, Paul (2000) Populism. Buckingham: Open University Press.
  4. [52] Trottier, Daniel and Christian Fuchs (eds.) (2015) Social Media, Politics and the State: Protests, Revolutions, Riots, Crime and Policing in the Age of Facebook, Twitter and YouTube (Vol. 16). New York: Routledge.

Cited by

See all 2

Metadata

Authors
Carrella, F.
Venue
Brno studies in English
Publisher
Masaryk University Press
Published
2020
Issue
2
Pages
5-23
ISSN
  • 0524-6881
  • 1805-0867
DOI
10.5817/bse2020-2-1
Cited by
2
References
37
Language
cs

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: #Populism on Twitter : statistical analysis of the correlation between tweet popularity and "populist" discursive features. https://app.cochat.ai/papers/10.5817/bse2020-2-1
The paper
Carrella, F. (2020). #Populism on Twitter : statistical analysis of the correlation between tweet popularity and "populist" discursive features. Brno studies in English. https://doi.org/10.5817/bse2020-2-1

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.