Cited by 18Misinformation and Its ImpactsSocial Media and PoliticsMedia Influence and Politics

The DOI matches its Crossref record.

Computational propaganda: Concepts, methods, and challenges

Open access
Howard, Philip, Lin, Fen, Tuzov, Viktor·2023·Communication and the Public

Abstract

In this dialogue, Phillip Howard introduces “computational propaganda” as an emerging communication tool in political communication and a perspective for investigating misinformation and disinformation. By articulating the concepts, patterns, and mechanisms of computational propaganda, Howard proposes a socio-technical framework for studying computational propaganda. He calls for mixed methods to undertake computational research alongside qualitative investigation, thus addressing the computational as well as the political. Howard emphasizes the battle against algorithm bias, manipulation, and misinformation, and he advocates building an International Panel on the Information Environment (IPIE), an international scientific collaboration, to respond to the challenges. In addition, Howard offers advice on further research in computational propaganda.

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 · 10.1177/20570473231185996

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

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

No references could be resolved yet.

Research works printed but not linked: 5

  1. 10.1089/big.2017.29024.cpr · DOI
  2. Brennen J. S., 2020, Types, sources, and claims of COVID-19 misinformation
  3. Woolley S. C., 2016, International Journal of Communication, 10, 9
  4. Woolley S. C., 2016, Routledge handbook of media, conflict, and security
  5. 10.1093/oso/9780190931407.001.0001 · DOI

Cited by

Metadata

Authors
Howard, P., Lin, F., & Tuzov, V.
Affiliations
  • University of Oxford (GB)
  • City University of Hong Kong (HK)
Venue
Communication and the Public
Published
2023-06
Volume
8
Issue
2
Pages
47-53
ISSN
  • 2057-0473 (ISSN-L)
  • 2057-0481
OpenAlex
W4384523610
Cited by
18
References
0
Citations by year
2026: 7 · 2025: 8 · 2024: 3
FWCI
7.77
Type
journal article
Language
en
Open access
Locations
  • Communication and the Public (publishedVersion, cc-by-nc)
  • CityU Scholars (submittedVersion, cc-by-nc)
Topics
  • Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
  • Social Sciences › Communication › Social Media and Politics
  • Social Sciences › Sociology and Political Science › Media Influence and Politics
Keywords
computational propaganda, misinformation, disinformation, political communication, socio-technical framework, algorithmic bias, information manipulation, mixed methods, international scientific collaboration

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: Computational propaganda: Concepts, methods, and challenges. https://app.cochat.ai/papers/10.1177/20570473231185996
The paper
Howard, P., Lin, F., & Tuzov, V. (2023). Computational propaganda: Concepts, methods, and challenges. Communication and the Public. https://doi.org/10.1177/20570473231185996