Numbers, Facts and Trends Shaping Your World
Newsletters Donate My Account
Pew Research Center Logo

See our research on: Abortion | Vaccines | COVID-19

Pew Research Center Logo
Research Topics
All PublicationsMethodsShort ReadsTools & ResourcesExpertsAbout
Topics
Politics & PolicyInternational AffairsImmigration & MigrationRace & EthnicityReligionGenerations & AgeGender & LGBT
Family & RelationshipsEconomy & WorkScienceInternet & TechnologyNews Habits & MediaMethodological ResearchFull topic list
Regions & Countries
Asia & the PacificEurope & RussiaLatin AmericaMiddle East & North AfricaNorth America (Non-U.S.)Sub-Saharan AfricaMultiple Regions / Worldwide
Formats
FeaturesFact SheetsVideosData Essays
Research Topics
Topics
Politics & PolicyInternational AffairsImmigration & MigrationRace & EthnicityReligionGenerations & AgeGender & LGBTFamily & RelationshipsEconomy & WorkScienceInternet & TechnologyNews Habits & MediaMethodological ResearchFull topic list
Regions & Countries
Asia & the PacificEurope & RussiaLatin AmericaMiddle East & North AfricaNorth America (Non-U.S.)Sub-Saharan AfricaMultiple Regions / Worldwide
Formats
FeaturesFact SheetsVideosData Essays
All PublicationsMethodsShort ReadsTools & ResourcesExpertsAboutMy Account
DONATE

See our research on: Abortion | Vaccines | COVID-19

Home Research Topics News Habits & Media Media & Society Misinformation Bots & Misinformation Bots in the Twittersphere
Pew Research CenterApril 5, 2018
Bots in the Twittersphere

Automated Twitter accounts post the vast majority of tweeted links to popular news and current events sites that do not offer original reporting

← Prev Page
Page1Page2Page3Page4Page5Page6Page7Page8Page9Page10You are reading page11
Next Page →
Automated Twitter accounts post the vast majority of tweeted links to popular news and current events sites that do not offer original reporting

Post Infographics

Bots in the Twittersphere
In a sample of 206 accounts coded by a third party, a threshold near 0.43 produces the highest level of accuracy in classifying bot accounts
Verified Twitter accounts have little impact on numbers of automated accounts shared
Including or excluding verified accounts exceeding a Botometer score of 0.43 does not affect results much
Random effects analysis of bot shares by content
Random effects analysis of bot shares by audience score
The most accurate Botometer threshold for classifying bot accounts is below 0.5, based on a sample of 100 hand-coded accounts
Inter-coder testing scores
Suspected bot accounts share more links to popular political sites with an ideologically centrist or mixed audience
Automated accounts post the majority of tweeted links to popular websites across a range of domains
The most-active Twitter bots produce a large share of the links to popular news and current events websites
Automated Twitter accounts post the vast majority of tweeted links to popular news and current events sites that do not offer original reporting

Pew Research Center
1615 L St. NW, Suite 800
Washington, DC 20036
USA
(+1) 202-419-4300 | Main
(+1) 202-857-8562 | Fax
(+1) 202-419-4372 | Media Inquiries

Research Topics
Politics & PolicyInternational AffairsImmigration & MigrationRace & EthnicityReligionGenerations & AgeGender & LGBT
Family & RelationshipsEconomy & WorkScienceInternet & TechnologyNews Habits & MediaMethodological ResearchFull topic list
Follow Us
Email Newsletters Facebook Twitter Tumblr YouTube RSS

About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts.

Copyright 2021 Pew Research Center About Terms & Conditions Privacy Policy Reprints, Permissions & Use Policy Feedback Careers