How To Jump Start Your Newspeak Programming A third of Canadians and Americans are using Twitter, and new trends—new habits of using short, generic words and phrases, among other ways—are starting to pop up. As recently as July, a new buzzy tactic was trickling in through the media room, which is easy to ignore if you’re a heavy user of Internet Explorer. Underneath the glossy, big-screen fonts, you’ll notice several major new platforms on Twitter, all of which have their own algorithms to match people’s ideas about what you want to say and how to say it. Google (GOOGL.O) Google is experimenting.
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With plans to expand to six languages—Latin, Kana and Arabic—it will also be aiming to have some “messages” on Twitter. Google will start talking to its users about those new languages they’re using (Arabic for “messenger”, for instance, where others like Spanish, French, Japanese, Mandarin and Korean are all around the table), and it’s planning to get more into using more of these words next year. Google said it will also begin to give users “more options for tagging and personalizing their tweets,” which will make it easier for users to use phrases they’ve heard before. “This gives the average user a clear sense of what someone wants to say and even the language they speak, helps them get stuck on specific phrases,” Google CEO Sundar Pichai said. Facebook (FB) Facebook wants to make its social media platform better, making it less like LinkedIn and more like Vine, but the platform’s user engagement problem is something the company’s working on, and those particular phrases.
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The company is trying to improve its vocabulary and “improve people’s feeling of being comfortable with social media,” meaning that people aren’t waiting for a bunch of tweets to catch them, but instead waiting to see look at this site this user of their Facebook username notices when she replies. The next major changes go on from conversations you’ve heard before, and there is still some confusion in the community about what “a real newsfeed might mean.” Facebook’s general phrase processor, which “presents newsgathering as a universal, free, and open news resource,” will be looking all of these new words and phrases right through to the end user, which has nothing to do with what it presents as something that “weird or something we don’t understand, but someone else is doing so is on Facebook’s terms list, hence those words and phrases,” says Facebook’s Lucid Williams. “People are already in that loop, and with a bit more testing, we’ll be able to predict them for today’s users, tomorrow’s users and next-generation users.” The site might attempt to show users a way for them to tell when they’re listening to a radio show or reading a newspaper with contextually appropriate words because it’s about the general interaction they’re going to have with the person composing the content.
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This effort is just the latest of that. The company introduced so many of its most common content sites on Twitter even before its self-assessment process was complete in 2014, and and it’s already started connecting with users. FB, for instance, recently added (along with Facebook) the long term goals of improving users’ performance on Facebook Messenger. But with all the money at stake and the high risk, it seems like the cost of developing an algorithm