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... the Republican Party, which has become the most dangerous organization in world history.Apart from the last phrase, all of this is uncontroversial. The last phrase may seem outlandish, even outrageous. But is it? The facts suggest otherwise. The Party is dedicated to racing as rapidly as possible to destruction of organized human life. There is no historical precedent for such a stand.
Mami guay y concienciada abuchara y humilla a su hijo de ocho años y lo echa de casa por haber "votado" a Trump en el cole.! No longer availableY lo graba y publicita en video para ser, ante al mundo, la más ejemplar de las luchadoras por la justicia y el buen rollo.
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How Teens In The Balkans Are Duping Trump Supporters With Fake NewsBuzzFeed News identified more than 100 pro-Trump websites being run from a single town in the former Yugoslav Republic of Macedonia.
“Yes, the info in the blogs is bad, false, and misleading but the rationale is that ‘if it gets the people to click on it and engage, then use it,’” said a university student in Veles who started a US politics site, and who agreed to speak on the condition that BuzzFeed News not use his name.
“I started the site for a easy way to make money,” said a 17-year-old who runs a site with four other people. “In Macedonia the economy is very weak and teenagers are not allowed to work, so we need to find creative ways to make some money. I’m a musician but I can’t afford music gear. Here in Macedonia the revenue from a small site is enough to afford many things.”Most of the posts on these sites are aggregated, or completely plagiarized, from fringe and right-wing sites in the US. The Macedonians see a story elsewhere, write a sensationalized headline, and quickly post it to their site. Then they share it on Facebook to try and generate traffic. The more people who click through from Facebook, the more money they earn from ads on their website.
If your political conversations on social media seem mechanical and predictable, it might be because you are debating with a robot.A study published the day before the election found an estimated 400,000 bots operating on Twitter that were tweeting—and being retweeted—at a remarkable pace, generating nearly 20 percent of all election-related messages.
Using advanced machine learning we were able to isolate two economic variables (can be consused either individually, or combined). A splendidly compact model that in the end powerfully explains most of the voting differences. What are these two joint economic signals that explained much of what occurred Election Day 2016? 1. First, there were 20 states -plus Washington- with above average GDP per capita (above $50k). This also wistfully admits that this relevant economic variable is very positively skewed, or highlighting inequality towards the hands of Democrat states. Of those:a. The model predicts with 100% accuracy Hillary winning the 12 states -plus D.C.- where the unemployment rate dropped beyond a 1.8% since the last electionb. The model near-perfectly predicts Trump winning the 8 states where the unemployment rate dropped no more than 1.8% since the last election2. Second, there were 30 states with below average GDP per capita (below $50k). Of those:a. The model predicts with 100% accuracy Hillary winning the 2 states where the unemployment rate dropped beyond a high 4.6% since the last electionb. The model near-perfectly predicts Trump winning the 28 states where the unemployment rate dropped no more than 4.6% since the last election. The moral here is that for the plurality of Americans with less wealth accumulated, they expect somewhat greater job security in order to feel more satisfied. For the sake of putting on our hat of Americans first (politics second), let’s hope that over the next four years: the vast majority of Americans begin to see more satisfactory policies that positively influences their lives.