In recent years, computer-driven image recognition systems that automatically recognize and classify human subjects have become increasingly widespread. These algorithmic systems are applied in many settings – from helping social media sites tell whether a user is a cat owner or dog owner to identifying individual people in crowded public spaces. A form of machine […]
The ability of governments and law enforcement agencies to monitor the public using facial recognition was once the province of dystopian science fiction. But modern technology is increasingly bringing versions of these scenarios to life.
Machine vision tools like facial recognition are increasingly being used for law enforcement, advertising, and other purposes. Pew Research Center itself recently used a machine vision system to measure the prevalence of men and women in online image search results. This kind of system develops its own rules for identifying men and women after seeing […]
An analysis of Youtube videos suggested by the site's recommendation engine finds that users are directed toward progressively longer and more popular content
Read key findings and watch a video about our new study on how bot accounts affect the mix of content on Twitter.
An estimated two-thirds of tweeted links to popular websites are posted by automated Twitter accounts – not human beings.
An estimated two-thirds of tweeted links to popular websites are posted by automated accounts – not human beings.
More than half of comments submitted to the FCC on net neutrality used temporary or duplicate email addresses, and seven popular comments accounted for 38% of all submissions.
In both legislative chambers, members’ ideology is a strong predictor of the number of people who follow them on Facebook.
How scholars, companies and workers are using Mechanical Turk, a ‘gig economy’ platform, for tasks computers can’t handle