Northeastern University: It’s Time To Study Machines The Way We Study Humans

Northeastern University: It’s Time To Study Machines The Way We Study Humans. “Artificial intelligence and machine learning models can be found in almost every aspect of modern life. News-ranking algorithms determine which information we see online, compatibility algorithms influence the people we date, and ride-hailing algorithms affect the way we travel. Despite the pervasiveness of these life-changing algorithms, we don’t have a universal understanding of how they work or how they’re shaping our world. So, a team of researchers—including two Northeastern University professors—says that it’s time to study artificially intelligent machines the way we study humans.”

News@Northeastern: Your Gender And Race Might Be Determining Which Facebook Ads You See

News@Northeastern: Your Gender And Race Might Be Determining Which Facebook Ads You See. “The research was troubling. It showed that the group of users to whom Facebook chose to show ads can be skewed along gender and racial lines, in potential violation of federal laws that prevent discrimination in ads for employment, housing, and credit. A Northeastern team tested Facebook’s advertising system with a series of online advertisements. As the researchers tweaked the images, Facebook’s system presented the ads more predominantly to specific racial and gender groups.” This is not the researchers intentionally microtargeting. This is Facebook’s own algorithm doing this.

News@Northeastern: This Resource Is An Ocean Science Teacher’s Dream Come True

News@Northeastern: This Resource Is An Ocean Science Teacher’s Dream Come True. “Northeastern’s Marine Science Center has created a new series of online educational resources for science teachers to use to inside and outside their classrooms. The website translates research completed by Northeastern students and faculty into lesson plans for teachers. The site is catered toward every level of education, with lessons suited for students from early elementary school through high school.”

News@Northeastern: Democrats Who Won 2018 Midterms Were More Negative Than Republicans On Twitter, Research Finds

News@Northeastern: Democrats Who Won 2018 Midterms Were More Negative Than Republicans On Twitter, Research Finds. “It was a mantra first popularized by Michelle Obama in 2016 and echoed again and again by Democratic politicians who vowed to rebuke the negative speech they said their Republican counterparts espoused. ‘When they go low, we go high,’ she said. Only two years later, the message seems not to have stuck, according to new research from Northeastern University.”

Northeastern University: Think You’re Getting Your Message Out On Twitter? This App Lets You Find Out For Sure.

Northeastern University: Think You’re Getting Your Message Out On Twitter? This App Lets You Find Out For Sure.. “A new tool from Northeastern’s Center for Complex Network Research can identify Twitter users who are honing their ideas into tweets others want to share. The app boils an account down to a single number, called the Q-factor, to separate out users who are truly influential from those who are merely popular.”

Northeastern: New research shows that, post net neutrality, internet providers are slowing down your streaming

Northeastern: New research shows that, post net neutrality, internet providers are slowing down your streaming. “New net neutrality rules, born in 2015 and struck down two years later, were conceived to protect consumers’ ability to access all online information equally. During this short lifespan, [Dave] Choffnes and two Northeastern students developed an app that could track violations of net neutrality. Apple originally blocked the app, now called Wehe, from its App Store. But after ensuing media coverage caused a sharp increase in the number of Wehe users, Choffnes found himself with a wealth of data.”

Northeastern University: Will Fake Social Media Followers Derail The Booming Influencer Marketing Business?

Northeastern University: Will Fake Social Media Followers Derail The Booming Influencer Marketing Business?. “Celebrities, social media stars, and other online personalities have taken a hit to their credibility in recent months, as millions of their followers have been exposed as fake or bought. This has created a bigger problem for advertisers and consumers, who no longer can trust in high follower numbers as a measure of influence and credibility. Now, a machine-learning algorithm developed by Northeastern graduates is giving marketers a way to keep their advertising real—and rebuild consumer trust. “