Overview: Media

This month sees the first generation of Hubs (other than mine) go live, so it’s time to imagine what comes next: AI integration? Filter-bubble Piercers? HubBots? Factcheck-driven credibility scores?

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…

The News Quality Scoring (NQS) will combine quality journalism content with new machine learning algorithms... as batch of stories enter the platform, they are scored on a 1-5 scale ... quality ... automatically and in real time.... Quantifiable Signals ... look at structure and patterns of the HTML page, advertising density, use of visual eleme…

“death by PowerPoint,”... sucks the life and energy out of ... meetings... spreadsheets rife with errors and macro miscalculations. Email and chat facilitate ... inbox overload ... So what makes artificial intelligence/machine learning (AI/ML) champions confident that their technologies will be immune to comparably counterproductive outcomes? ... …

Facebook’s application for Patent 0350675: “systems and methods to identify objectionable content.” ... filed in June 2015, describes a sophisticated system for identifying inappropriate text and images and removing them from the network... improve the detection of pornography, hate speech, and bullying... much easier to identify than false news s…

"... envisions a Yahoo that’s as ubiquitous as computers seem destined to be. Phones, watches, public terminals, brain implants — Yahoo wants to be able to deliver content to all of them... Yahoo Labs’ biggest focus appears to be on machine learning... a dedicated machine learning group based in New York; ... “hardcore science and some theory,…