A small group of prolific users account for a majority of political tweets sent by U.S. adults
These users make up just 6% of all U.S. adults with public accounts, but they account for 73% of tweets from adults that mention politics.
Data Labs
-
-
National Politics on Twitter: Small Share of U.S. Adults Produce Majority of Tweets
The findings of this analysis paint a nuanced picture of just how prevalent political speech is among U.S. adults on Twitter.
-
APSA 2019 roundup: Research on political socialization, campaign spending and misinformation
Researchers are learning more about early political socialization. Emerging techniques to fight misinformation are seeing some success.
-
Far more immigration cases are being prosecuted criminally under Trump administration
The first full fiscal year of the Trump administration saw large increases in the number of people arrested and criminally prosecuted for immigration offenses.
-
Before recent outbreak, vaping was on the rise in U.S., especially among young people
Amid questions over e-cigarettes and public health, here’s a look at what data shows about vaping in the U.S.
-
Among U.S. couples, women do more cooking and grocery shopping than men
Moms are more likely than dads to say they are the primary meal preparers, and they spend more time on average than dads on meal preparation.
-
Why Americans Don’t Fully Trust Many Who Hold Positions of Power and Responsibility
Members of Congress and technology leaders are rated lower in empathy, transparency and ethics; public gives higher scores to military leaders, public school principals and police officers
-
How veterans and non-veterans fare in the U.S. job market
Veterans of prime working age generally fare at least as well as non-veterans in the U.S. job market, though there are differences in the work they do.
-
The challenges of using machine learning to identify gender in images
This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology.
-
How does a computer ‘see’ gender?
A computer can be trained to predict whether an image shows a man or a woman. Can you identify which parts of the face are most essential to the computer’s decision?
