A recent ban affecting three of China's biggest online platforms aimed at "cleaning up the air in cyberspace" is just the latest government crackdown on user-generated content, and especially live streaming. This edict, issued by China's State Administration of Press, Publication, Radio, Film and Television (SAPPRFT) in June, affects video on the social media platform Sina Weibo, as well as video platforms Ifeng and AcFun. In 2014, for example, one of China's biggest online video platforms LETV began removing its app that allowed TV users to access online video, reportedly due to SAPPRFT requirements. China's largest social media network, Sina Weibo, launched an app named Yi Zhibo in 2016 that allows live streaming of games, talent shows and news.
Tinder users on the free tier have to swipe through a list of profiles without knowing which potential matches have liked them. Unlike Gold members, Tinder users on the free tier have to swipe through a list of profiles without knowing which potential matches have liked them. The dating service is testing a range of price points for the feature, which will begin testing in Australia, Argentina, Mexico, and Canada this week. Researchers found that people's perceptions of potential dates' attractiveness goes up after they have a positive face-to-face interaction - but only for those who were rated mid to low attractiveness based on their photo.
When it comes to the EU Commission's decision to fine Google €2.42 billion for breaking competition law, the cash is just a distraction. The real impact of the ruling is that Google must stop using its dominance as a search engine to give itself the edge in another market: online price comparisons. The ruling says that in doing this, Google deliberately promotes its own price comparison results over its competitors, such as Yelp. The EU commission found that since it started prioritising its own shopping services in 2008, Google's price comparison service has increased its UK traffic 45-fold.
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A UK-based tech startup called 110% use machine learning (AI) technologies combined with human intelligence to provide a type of workplace support that can't be offered in any other way. What machines are good at, humans are not and vice versa, which is why using AI in Social Media will give businesses a better understanding around a prospects thought pattern. In 2014, LinkedIn acquired a job search startup called Bright.com. Understanding your target customers buying personas is a great way to truly develop the thought process of your potential prospects.
You see, Mattheij decided he wanted in on the profitable cottage industry of online Lego reselling, and after placing a bunch of bids for the colorful little blocks on eBay, he came into possession of 2 tons (4,400 pounds) of Lego -- enough to fill his entire garage. As Mattheij explains in his blog post, resellers can make up to €40 ($45) per kilogram for Lego sets, and rare parts and Lego Technic can fetch up to €100 ($112) per kg. Instead of spending an eternity sifting through his own, intimidatingly large collection, Mattheij set to work on building an automated Lego sorter powered by a neural network that could classify the little building blocks. "By the end of two weeks I had a training data set of 20,000 correctly labeled images."
As computers replace calculators, our tools become more capable, yet from society to software, can our very physical forms possibly keep up? With the rapid pace of progress, obsolescence is taking its toll. Our online actions and information are streamlined by software at a rapid pace. The threat of so-called de-skilling is constant: From a study (paywall) of 78 primary care physicians, University at Albany professor Timothy Hoff found that software diminished doctors' "ability to make informed decisions around diagnosis and treatment."
The price tag still holds sway in our major shops and departments stores -- but the retail sector is moving away from fixed prices, and online businesses are leading the way. In the same way, dynamic pricing can be designed to offer a customer the occasional bargain on a major purchase, for example a new television set, while exploiting the fact that they might not be price-sensitive when it comes to smaller items like headphones or cables. The take-home message is that while customers might benefit occasionally, by gathering enough personalised data, the retailer's algorithms can ultimately ensure that the retailer wins overall. As retailers adopt algorithmically-driven pricing, prices will increasingly be determined not just by the knowledge a company has about you, but also by the relationship between different, competing algorithms.
Now new research has shown its ability to detect serious incidents much faster than police reports -- up to an hour faster, in fact. By analysing data from the London riots in 2011, researchers at Cardiff University showed that computer systems could automatically scan through Twitter and identify potentially dangerous occurrences, such as windows being broken and cars being set on fire, long before they were reported to the Metropolitan Police Service. The algorithms detected incidents quicker than police sources in all but two of the events reported. "In this research we show that online social media are becoming the go-to place to report observations of everyday occurrences -- including social disorder and terrestrial criminal activity.
"As long as big companies with popular platforms see value in bots, they will continue to grow." Although chatbots are certainly becoming more commonplace, a recent study suggested that the majority of consumers still prefer human assistance. More than half of the consumers surveyed reported a preference towards human interaction, with the US the highest at 59 percent. Its machine learning functionality had the bot learning racial slurs and resulted in Microsoft having to send the bot to the digital naughty corner.