Evidence map›Paper›PMID 34131158›Full record

ArticleScientific reports2021

Online hate network spreads malicious COVID-19 content outside the control of individual social media platforms.

N Velásquez, R Leahy, N Johnson Restrepo, Y Lupu, R Sear, N Gabriel, O K Jha, B Goldberg, N F Johnson

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
21.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Social media mining under the COVID-19 context: Progress, challenges, and opportunities.International journal of applied earth observation and geoinformation : ITC journal · 2022
    Article
  11. Observational
  12. Digital Strategy and Social Media for Infectious Diseases.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  13. Social Media: Flattening Hierarchies for Women and Black, Indigenous, People Of Color (BIPOC) to Enter the Room Where It Happens.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  14. Article
  15. Stewardship of global collective behavior.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Review
  16. Persistence of anti-vaccine sentiment in social networks through strategic interactions.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2021
    Article
  17. Article
  18. CoVerifi: A COVID-19 news verification system.Online social networks and media · 2021
    Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

N VelásquezInstitute for Data, Democracy and Politics, George Washington University, Washington, DC, 20052, USA.
R LeahyInstitute for Data, Democracy and Politics, George Washington University, Washington, DC, 20052, USA.
N Johnson RestrepoInstitute for Data, Democracy and Politics, George Washington University, Washington, DC, 20052, USA.
Y LupuClustrX LLC, Washington, DC, USA.
R SearDepartment of Computer Science, George Washington University, Washington, DC, 20052, USA.
N GabrielPhysics Department, George Washington University, Washington, DC, 20052, USA.
O K JhaPhysics Department, George Washington University, Washington, DC, 20052, USA.
B GoldbergGoogle LLC, Mountain View, CA, USA.
N F JohnsonInstitute for Data, Democracy and Politics, George Washington University, Washington, DC, 20052, USA. neilfjohnson@me.com.
George Washington University · USCoherent Logix (United States) · USGoogle (United States) · US

Funding

Air Force Office of Scientific Research FA9550-20-1-0382John S. and James L. Knight Foundation IDDPNational Science Foundation SES-2030694
6 · The paper itself

Abstract

We show that malicious COVID-19 content, including racism, disinformation, and misinformation, exploits the multiverse of online hate to spread quickly beyond the control of any individual social media platform. We provide a first mapping of the online hate network across six major social media platforms. We demonstrate how malicious content can travel across this network in ways that subvert platform moderation efforts. Machine learning topic analysis shows quantitatively how online hate communities are sharpening COVID-19 as a weapon, with topics evolving rapidly and content becoming increasingly coherent. Based on mathematical modeling, we provide predictions of how changes to content moderation policies can slow the spread of malicious content.

Identifiers

PMID34131158
PMCPMC8206165
OpenAlexW3168350320

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.