discriminating-fake-news-from-real-news.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from __future__ import absolute_import, division, print_function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import re\n",
    "from itertools import combinations\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "from bs4 import BeautifulSoup\n",
    "from scipy.cluster.hierarchy import dendrogram, linkage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "ALPHANUM_REGEX = re.compile('[\\W+]', re.UNICODE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def to_tokens(s):\n",
    "    return set(ALPHANUM_REGEX.sub(' ', s).lower().split())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def jaccard_distance(x, y):    \n",
    "    return 1 - (len(x['tokens'] & y['tokens']) / len(x['tokens'] | y['tokens']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "ARTICLES = []\n",
    "\n",
    "for el in os.listdir('data'):\n",
    "    with open(os.path.join('data', el)) as f:\n",
    "        soup = BeautifulSoup(f.read(), 'html.parser')\n",
    "        text = soup.get_text()\n",
    "        tokens = to_tokens(text)\n",
    "\n",
    "        fake = el.startswith('fake')\n",
    "        id_ = el[5:7]\n",
    "\n",
    "        ARTICLES.append({'id_': id_, 'fake': fake, 'tokens': tokens, 'text': text, 'soup': soup})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "DISTANCES = [jaccard_distance(x, y) for x, y in combinations(ARTICLES, 2)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "Z_COMPLETE = linkage(DISTANCES, method='complete')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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011xzDVtvvfW0fzujx4pLKX8CrmboZSIREfX7N6b6u4h4LfAmYH4p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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1059edf90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 9))\n",
    "plt.title('Z_COMPLETE')\n",
    "dendrogram(Z_COMPLETE)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "REAL: story of corruption is mind-boggling. So why is Clinton supposedly the corrupt one? - The Washington Post\n",
      "REAL: uit Power’ flashmob video for Hillary Clinton: Two women, 170 dancers and no police - The Washington Post\n",
      "REAL:  ad: If Trump becomes president, ‘you better hope there’s someone left to help you’ - The Washington Post\n",
      "REAL:  He fought in World War II. He died in 2014. And he just registered to vote in Va. - The Washington Post\n"
     ]
    }
   ],
   "source": [
    "for i in [18, 23, 27, 29]:\n",
    "    print('FAKE:' if ARTICLES[i]['fake'] else 'REAL:', ARTICLES[i]['soup'].title.get_text()[-105:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FAKE: : Hillary’s ISIS Email Just Leaked & It’s Worse Than Anyone Could Have Imagined… | EndingFed News Network\n",
      "FAKE: Page not found | EndingFed News Network\n",
      "FAKE: ed millions from Clinton Foundation, his brother’s law firm does Clinton’s taxes | EndingFed News Network\n",
      "FAKE: BREAKING: Fraudulent Clinton Votes Discovered By The “Tens Of Thousands” | EndingFed News Network\n"
     ]
    }
   ],
   "source": [
    "for i in [1, 2, 4, 7]:\n",
    "    print('FAKE:' if ARTICLES[i]['fake'] else 'REAL:', ARTICLES[i]['soup'].title.get_text()[-105:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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60AAAAADA5bdTycGq2i3J4Un+cm1aa60leVuSI3bwv9knyW5J/n1n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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10aaf5ad0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 9))\n",
    "plt.title('Z_COMPLETE')\n",
    "dendrogram(\n",
    "    Z_COMPLETE,\n",
    "    color_threshold=0.9*max(Z_COMPLETE[:, 2])),\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "REAL: story of corruption is mind-boggling. So why is Clinton supposedly the corrupt one? - The Washington Post\n",
      "REAL: uit Power’ flashmob video for Hillary Clinton: Two women, 170 dancers and no police - The Washington Post\n",
      "REAL:  ad: If Trump becomes president, ‘you better hope there’s someone left to help you’ - The Washington Post\n",
      "REAL:  He fought in World War II. He died in 2014. And he just registered to vote in Va. - The Washington Post\n",
      "REAL: Donald and Billy on the Bus - The New York Times\n",
      "REAL: I Ran the C.I.A. Now I’m Endorsing Hillary Clinton. - The New York Times\n",
      "REAL: Donald Trump Voters, Just Hear Me Out - The New York Times\n",
      "REAL: Why Donald Trump Should Not Be President - The New York Times\n",
      "REAL: Hillary Clinton for President - The New York Times\n",
      "REAL: n Leaders Don’t Support Donald Trump. Here’s When They Reached Their Breaking Point. - The New York Times\n",
      "REAL: A Week of Whoppers From Donald Trump - The New York Times\n",
      "FAKE: o Saudi Arabia, Hillary’s Clinton Foundation Tie Terror, Immigration, Email Scandals Together - Breitbart\n",
      "REAL: The real Clinton email scandal is that a bullshit story has dominated the campaign - Vox\n",
      "REAL: Ford fact checks Trump: We will be here forever - Sep. 15, 2016 \n",
      "REAL: Melania Trump’s girl-on-girl photos from racy shoot revealed | New York Post\n",
      "REAL: Stop Pretending You Don't Know Why People Hate Hillary Clinton | The Huffington Post\n",
      "REAL: Donald Trump Is Going To Be Elected | The Huffington Post\n"
     ]
    }
   ],
   "source": [
    "for i in [18, 23, 27, 29, 34, 21, 37, 31, 32, 25, 36, 16, 28, 22, 20, 19, 30]:\n",
    "    print('FAKE:' if ARTICLES[i]['fake'] else 'REAL:', ARTICLES[i]['soup'].title.get_text()[-105:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FAKE: Page not found - World Politicus\n",
      "FAKE: Page not found - World Politicus\n",
      "FAKE: President Obama Confirms He Will Refuse To Leave Office If Trump Is Elected\n",
      "FAKE: y’s Email Case Got Reopened And James Comey Asked For Immunity. Trey Gowdy Says Hell No. | Yes I'm Right.\n",
      "FAKE: n 2013: “I Would Like To See People Like Donald Trump Run For Office; They’re Honest And Can’t Be Bought”\n",
      "FAKE: Hey Hillary, thanks for telling the world America’s response time for a nuclear launch – twitchy.com\n",
      "FAKE: ISIS Leader Calls for American Muslim Voters to Support Hillary Clinton – World News Daily Report\n",
      "FAKE: Rupaul claims Trump touched him inappropriately in the 1990s – World News Daily Report\n",
      "FAKE: Page not found - Denver Guardian\n",
      "FAKE: Page not found | EndingFed News Network\n",
      "FAKE: ed millions from Clinton Foundation, his brother’s law firm does Clinton’s taxes | EndingFed News Network\n",
      "FAKE: : Hillary’s ISIS Email Just Leaked & It’s Worse Than Anyone Could Have Imagined… | EndingFed News Network\n",
      "FAKE: BREAKING: Fraudulent Clinton Votes Discovered By The “Tens Of Thousands” | EndingFed News Network\n"
     ]
    }
   ],
   "source": [
    "for i in [14, 17, 8, 11, 6, 12, 5, 13, 3, 2, 4, 1, 7]:\n",
    "    print('FAKE:' if ARTICLES[i]['fake'] else 'REAL:', ARTICLES[i]['soup'].title.get_text()[-105:])"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}