More than 73 million user records have been stolen from a number of online services and are being sold on the dark web for a total of $18,000. The hacker group, named'ShinyHunters', scraped data from at least 10 companies including Zoosk, Chatbooks and the StarTribune. The online dating app, Zoosk, had the largest breach, as the cybercriminals grabbed 30 million user record and Chatbooks came in second with 15 million, according to ZDNet. Chatbooks is the only firm to acknowledge the attack, which said login credentials including names, email address and passwords were taken in the haul, along with some phone numbers and FacebookIDs. More than 73 million user records have been stolen from a number of online services and are being sold on the dark web for a total of $18,000.

Automatic analysis of teacher and student interactions could be very important to improve the quality of teaching and student engagement. However, despite some recent progress in utilizing multimodal data for teaching and learning analytics, a thorough analysis of a rich multimodal dataset coming for a complex real learning environment has yet to be done. To bridge this gap, we present a large-scale MUlti-modal Teaching and Learning Analytics (MUTLA) dataset. This dataset includes time-synchronized multimodal data records of students (learning logs, videos, EEG brainwaves) as they work in various subjects from Squirrel AI Learning System (SAIL) to solve problems of varying difficulty levels. The dataset resources include user records from the learner records store of SAIL, brainwave data collected by EEG headset devices, and video data captured by web cameras while students worked in the SAIL products. Our hope is that by analyzing real-world student learning activities, facial expressions, and brainwave patterns, researchers can better predict engagement, which can then be used to improve adaptive learning selection and student learning outcomes. An additional goal is to provide a dataset gathered from the real-world educational activities versus those from controlled lab environments to benefit educational learning community.

A Chinese database has exposed 42.5 million user records that were mined from a range of popular dating apps. The database was discovered by security researcher Jeremiah Fowler, who said it was not password protected and the majority of the records appeared to be from US users. Worryingly, the data left exposed included users' IP addresses, geolocation data, age and usernames. A Chinese database has exposed 42.5 million user records that were mined from a range of popular dating apps. The database included 42.5 million user records from an array of dating apps.