Incivility is Rising on Twitter Among U.S. Politicians (Video) | Stanford HAI
Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
    • Subscribe to Email
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
Navigate
  • About
  • Events
  • AI Glossary
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

news

Incivility is Rising on Twitter Among U.S. Politicians (Video)

Date
August 29, 2022
Topics
Machine Learning
Communications, Media

Scholars analyze 1.3 million politicians' tweets to find a 23% increase in incivility over the past decade.

Twitter has become a dominant platform for political communication in the U.S. How has the medium shaped the message? By applying a validated artificial intelligence classifier to all 1.3 million tweets made by members of Congress since 2009, scholars including Stanford sociologist Robb Willer and Stanford HAI junior faculty member Johannes Eichstaedt find that the levels of incivility have risen on Twitter over the past decade. Their analyses suggest that this increase was partly driven by reinforcement learning in which politicians engaged in greater incivility following positive feedback. The more negative their tweets, the more likes and retweets they would receive. But interestingly, the scholars found these mean tweets aren't always as well liked as metrics indicate.

You can read the full study here. 

Share
Link copied to clipboard!

Related News

AI Hiring Tools Can Yield Racial Bias and Systemic Rejection
Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel, Dan Jurafsky, Percy Liang
May 26, 2026
News
A 3D isometric conceptual illustration showing a single glowing yellow human icon standing out among a grid of identical blue figures

The first large-scale study of hiring algorithms in the wild finds concerning patterns to how systems reject candidates.

News
A 3D isometric conceptual illustration showing a single glowing yellow human icon standing out among a grid of identical blue figures

AI Hiring Tools Can Yield Racial Bias and Systemic Rejection

Rishi Bommasani, Sarah H. Bana, Kathleen A. Creel, Dan Jurafsky, Percy Liang
Machine LearningEthics, Equity, InclusionWorkforce, LaborMay 26

The first large-scale study of hiring algorithms in the wild finds concerning patterns to how systems reject candidates.

5 Questions for Russell Wald
Politico
May 08, 2026
Media Mention

HAI Executive Director Russell Wald talks about the AI competition between the U.S. and China, and the advent of “world models” that predict what might happen in real-world environments.

Media Mention
Your browser does not support the video tag.

5 Questions for Russell Wald

Politico
Regulation, Policy, GovernanceMachine LearningComputer VisionMay 08

HAI Executive Director Russell Wald talks about the AI competition between the U.S. and China, and the advent of “world models” that predict what might happen in real-world environments.

Want To Understand The Current State Of AI? Check Out These Charts.
MIT Technology Review
Apr 13, 2026
Media Mention

"If you’re following AI news, you’re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can’t even read a clock. The 2026 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence, AI’s annual report card, comes out today and cuts through some of that noise."

Media Mention
Your browser does not support the video tag.

Want To Understand The Current State Of AI? Check Out These Charts.

MIT Technology Review
International Affairs, International Security, International DevelopmentEducation, SkillsRegulation, Policy, GovernanceMachine LearningWorkforce, LaborApr 13

"If you’re following AI news, you’re probably getting whiplash. AI is a gold rush. AI is a bubble. AI is taking your job. AI can’t even read a clock. The 2026 AI Index from Stanford University’s Institute for Human-Centered Artificial Intelligence, AI’s annual report card, comes out today and cuts through some of that noise."