Many experts say public online spaces will significantly improve by 2035 if reformers, big technology firms, governments and activists tackle the problems created by misinformation, disinformation and toxic discourse. Others expect continuing troubles as digital tools and forums are used to exploit people’s frailties, stoke their rage and drive them apart.
Our latest Methods 101 video explains the basics of machine learning and how it allows our researchers to analyze data on a large scale.
How many ad preferences Facebook lists for its U.S. users – and how accurate they are – depends on how often, and for how long, they've used the platform.
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?
Pew Research Center released several reports in 2018 that explored the role and meaning of algorithms in people’s lives today.
About half of Facebook users say they are not comfortable when they see how the platform categorizes them, and 27% maintain the site’s classifications do not accurately represent them.
Men are overrepresented in online image search results for popular jobs. Women appear lower on the page than men in many of these searches.
Despite the growing presence of algorithms in daily life, the U.S. public expresses broad concerns over the fairness and effectiveness of computer programs making important decisions.
Around half of U.S. adults who use Facebook say they do not understand why certain posts but not others are included in their news feed. Older users are particularly likely to say they do not understand the workings of the news feed.
People in 38 countries were asked how often they use the internet – as well as how often they use social networking sites like Facebook, Twitter and other sites – to get news. Specifically, they were asked whether they did each activity several times a day, once a day, several times a week, once a […]