Evidence map›Paper›PMID 30896994›Full record

ArticleAmerican journal of public health2019

Malicious Actors on Twitter: A Guide for Public Health Researchers.

Amelia M Jamison, David A Broniatowski, Sandra Crouse Quinn

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
–field-weighted citation impact
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

34 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
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  5. Article
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  9. Article
  10. COVID-19 Tweet Links: A Preliminary Investigation of Type and Relevance.Proceedings of the Association for Information Science and Technology. Association for Information Science and Technology · 2022
    Article
  11. Article
  12. Disrupting drive-by download networks on Twitter.Social network analysis and mining · 2022
    Review
  13. Article
  14. Article
  15. Mass media coverage and vaccination uptake: evidence from the demand for meningococcal vaccinations in Hungary.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Article
  16. Online Attitudes and Information-Seeking Behavior on Autism, Asperger Syndrome, and Greta Thunberg.International journal of environmental research and public health · 2021
    Article
  17. Article
  18. Article-Level Metrics.Journal of Korean medical science · 2021
    Review
  19. Article
  20. Article
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

3 authors.

Amelia M JamisonAmelia M. Jamison is with the Center for Health Equity, School of Public Health, University of Maryland, College Park. David A. Broniatowski is with the Department of Engineering Management and Systems Engineering, School of Engineering and Applied Science, George Washington University, Washington, DC. Sandra Crouse Quinn is with the Department of Family Science and the Center for Health Equity, School of Public Health, University of Maryland.
David A BroniatowskiAmelia M. Jamison is with the Center for Health Equity, School of Public Health, University of Maryland, College Park. David A. Broniatowski is with the Department of Engineering Management and Systems Engineering, School of Engineering and Applied Science, George Washington University, Washington, DC. Sandra Crouse Quinn is with the Department of Family Science and the Center for Health Equity, School of Public Health, University of Maryland.
Sandra Crouse QuinnAmelia M. Jamison is with the Center for Health Equity, School of Public Health, University of Maryland, College Park. David A. Broniatowski is with the Department of Engineering Management and Systems Engineering, School of Engineering and Applied Science, George Washington University, Washington, DC. Sandra Crouse Quinn is with the Department of Family Science and the Center for Health Equity, School of Public Health, University of Maryland.

Funding

Supplementing Survey-Based Analyses of Group Vaccination Narratives and Behaviors Using Social MediaR01GM114771 · NIGMS · GEORGE WASHINGTON UNIVERSITY · PI BRONIATOWSKI, DAVID ANDRE, QUINN, SANDRA CROUSE · 2015 to 2019
$1.6M
NIGMS NIH HHS R01 GM114771
6 · The paper itself

Abstract

Social bots and other malicious actors have a significant presence on Twitter. It is increasingly clear that some of their activities can have a negative impact on public health. This guide provides an overview of the types of malicious actors currently active on Twitter by highlighting the characteristic behaviors and strategies employed. It covers both automated accounts (including traditional spambots, social spambots, content polluters, and fake followers) and human users (primarily trolls). It also addresses the unique threat of state-sponsored trolls. We utilize examples from our own research on vaccination to illustrate. The diversity of malicious actors and their multifarious goals adds complexity to research efforts that use Twitter. Bots are now part of the social media landscape, and although it may not be possible to stop their influence, it is vital that public health researchers and practitioners recognize the potential harms and develop strategies to address bot- and troll-driven messages.

Indexed as

Public OpinionAttitude to HealthHumansInformation DisseminationSocial MediaUnited StatesVaccination

Identifiers

PMID30896994
PMCPMC6459664

What OpenQuestion holds

Textmetadata
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.