Overview: Digital Transformation

Technology has altered the foundations of news and media, and as trust in media continues to decline, artificial intelligence, machine learning, and algorithms have come to play a critical role not only as threats to the integrity and quality of media, but also as a source of potential solutions. The core threats to information quality associated …

“We are so screwed it's beyond what most of us can imagine... And depending how far you look into the future it just gets worse.”... a slew of slick, easy-to-use, and eventually seamless technological tools for manipulating perception and falsifying reality... They’re running war game–style disaster scenarios based on technologies that have begun …

Blockchain ... creating alternatives to the current corporation owned second layer of the internet... to make quality content truly democratic... Medium ... made itself decentralized... a blockchain with a dedicated token underlying all of the content ... reward content creators... governed only by the rules... But this token would also create an…

We made a fake news detector with above a 95% accuracy (on a validation set) that uses machine learning and Natural Language Processing that you can download here. In the real world, the accuracy might be lower... we decided to just try and scrape domains that were known fake, real, satire, etc. and see if we could build a data set quickly... Th…

“We wanted democracy... but got mobocracy.”... Bots generated one out of every five political messages posted on Twitter in America’s presidential campaign last year... “we need to reform our attention economy.”... groups which had mostly been excluded from the mainstream media... developed the dark arts they would use to further their agendas..…

For every man-made crisis event... we found evidence of alternative narratives, often shared by some of the same accounts and connected to some of the same online sites. These rumors had different “signatures” from other types of rumors... rose more slowly, and then they lingered, ebbing and flowing ... sustained participation by a set group of Tw…

Facebook today cannot exist without AI. Every time you use Facebook or Instagram or Messenger... your experiences are being powered by AI... Eventually, this “classifying” step—known as supervised learning—may become automated, as the company pursues an ML holy grail known as “unsupervised learning,” ... Facebook sees the visual cortex merging wit…

There’s large-scale, statistically significant research into the impact of search results on political views... Google is doing a horrible, horrible job of delivering answers here. It can and should do better... people are finally saying, ‘Gee, Facebook and Google really have a lot of power’ like it’s this big revelation. And it’s like, ‘D’oh.’”…

my research team’s analysis of data from Columbia University’s Emergent rumor tracker suggests that this misinformation is just as likely to go viral as reliable information... limiting news fakers’ ability to sell ads... a step in the right direction. But it will not curb abuses driven by political motives... Using BotOrNot, our colleagues found…

Perfectly open communities always go sour. You need filters. Every functional community has them. And that’s where machine learning comes in... If you can detect trolls, you can protect the people they’re trolling by muting or putting a warning over the trolls’ posts... Twitter... already have a way of screening out porn. Why don’t they do the sam…

a lot of people don’t know fake news when they see it, sensationalized reports are more likely to go viral on social media than sane ones, and distrust of traditional (and genuinely more reliable) media sources is rising. Professor Nicole A. Cooke ... focusing on human information behavior, information literacy, and diversity in librarianship.... …