Cited by 209Misinformation and Its ImpactsSocial Media and PoliticsMedia Influence and Politics

Protecting elections from social media manipulation

Aral, Sinan, Eckles, Dean·2019·Science

Abstract

Rigorous causal analysis could help harden democracy against future attacks

Integrity signals

Registry

Crossref · 10.1126/science.aaw8243

Cites

Statistics

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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?

  • The human versus non-human classification is based on a well-established deep learning algorithm with state-of-the-art accuracy.

    “It is based on a well established algorithm based on deep learning 37 with state-of-the-art accuracy 15,41 .”

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References 12 · Cited by 209

Authors
Aral, S., & Eckles, D.
Affiliations
Massachusetts Institute of Technology (US)
Venue
Science
Published
2019-08-30
Volume
365
Issue
6456
Pages
858-861
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2970610561
Cited by
209
References
12
Citations by year
2026: 12 · 2025: 19 · 2024: 25 · 2023: 51 · 2022: 28 · 2021: 29 · 2020: 42 · 2019: 3
FWCI
51.36
Type
journal article
Language
en
Open access
closed
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
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
election interference, social media manipulation, disinformation, democracy, causal analysis, electoral integrity

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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.

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