04_Data_Cleaning_FANG-COVID.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"04_Data_Cleaning_FANG-COVID.ipynb","provenance":[{"file_id":"1ugPLApbezdHluNQ9T5R97NTYMvk2UzjY","timestamp":1652425680038},{"file_id":"1b4ZjvpC5--Y1adMUHQ5zvs7U4X4AQjU9","timestamp":1652422814510}],"authorship_tag":"ABX9TyPvmP+xZqA9F2fHFmq+qQUf"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"id":"UIYv0p9uDxZq","executionInfo":{"status":"ok","timestamp":1652525483813,"user_tz":-120,"elapsed":6979,"user":{"displayName":"asdf Account","userId":"01950538320463113695"}}},"outputs":[],"source":["# This is a Python 3 environment\n","\n","# Base level imports for data science work\n","import numpy as np \n","import pandas as pd\n","import re,string,unicodedata\n","import os\n","from os import path\n","from json import decoder\n","import glob, os, json\n","import re\n","\n","# Visualization Libs\n","import seaborn as sns\n","import matplotlib.pyplot as plt\n","from PIL import Image\n","from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\n","\n","# NLP Libs\n","import nltk\n","from sklearn.preprocessing import LabelBinarizer\n","from nltk.corpus import stopwords\n","from nltk.stem.porter import PorterStemmer\n","from wordcloud import WordCloud,STOPWORDS\n","from nltk.stem import WordNetLemmatizer\n","from nltk.tokenize import word_tokenize,sent_tokenize\n","from bs4 import BeautifulSoup\n","from keras.preprocessing import text, sequence\n","from sklearn.feature_extraction.text import CountVectorizer\n","from sklearn.feature_extraction.text import TfidfVectorizer\n","from sklearn.preprocessing import LabelBinarizer\n","from sklearn.linear_model import PassiveAggressiveClassifier\n","from sklearn.naive_bayes import MultinomialNB\n","from sklearn.svm import SVC\n","\n","# Additional Libs\n","from sklearn.metrics import classification_report,confusion_matrix,accuracy_score\n","from sklearn.model_selection import train_test_split\n","from string import punctuation\n","from nltk import pos_tag\n","from nltk.corpus import wordnet\n","\n","# Deep Learning Libs\n","import keras\n","from keras.models import Sequential\n","from keras.layers import Dense,Embedding,LSTM,Dropout\n","from keras.callbacks import ReduceLROnPlateau\n","import tensorflow as tf"]},{"cell_type":"code","source":["# Mounting Google Drive\n","#from google.colab import drive\n","#drive.mount('/content/drive')"],"metadata":{"id":"wcDi2fnND531","executionInfo":{"status":"ok","timestamp":1652525483817,"user_tz":-120,"elapsed":19,"user":{"displayName":"asdf Account","userId":"01950538320463113695"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["#cd /content/drive/MyDrive/BA/0.4/Sources/"],"metadata":{"id":"Gyv6cZsuD8w6","executionInfo":{"status":"ok","timestamp":1652525483818,"user_tz":-120,"elapsed":16,"user":{"displayName":"asdf Account","userId":"01950538320463113695"}}},"execution_count":3,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"Sl78pCV4nQJi"},"source":["# Start der Datenverarbeitung"]},{"cell_type":"code","execution_count":4,"metadata":{"id":"wf8pD_Sfl1sV","executionInfo":{"status":"ok","timestamp":1652525536629,"user_tz":-120,"elapsed":52826,"user":{"displayName":"asdf Account","userId":"01950538320463113695"}}},"outputs":[],"source":["fangcovid = pd.read_csv(\"https://chruezfalsch.ch/df_FANG-COVID.csv\")\n","\n","df_fangcovid = pd.DataFrame()\n","fangcovid.label = fangcovid.label.map({ 'fake' : 1, 'real' : 0})\n","df_fangcovid['fake'] = fangcovid['label']\n","del fangcovid['label']\n","df_fangcovid['text'] =  fangcovid['header'] + fangcovid['article']\n","del fangcovid['article']\n","del fangcovid['header']\n","del fangcovid['twitter-history']\n","df_fangcovid['url'] = fangcovid['url']\n","df_fangcovid['source'] = fangcovid['source']\n","del fangcovid\n","df=df_fangcovid\n","del df_fangcovid"]},{"cell_type":"code","execution_count":5,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"elapsed":381,"status":"ok","timestamp":1652525537003,"user":{"displayName":"asdf Account","userId":"01950538320463113695"},"user_tz":-120},"id":"xp9J4lDsnG7h","outputId":"1be6c27e-aee0-4755-91ac-b78f4150fc90"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["       fake                                               text  \\\n","36237     1  Berlin: Festnahmen für Quarantäne-Gegner, grün...   \n","31918     1  \\n                \"Corona-Strategie\": Länder e...   \n","40967     0  Von Kemmerich bis WirecardAlles außer Corona: ...   \n","1050      0  Wie es wirklich ist… ein Tokio-Hotel-Superfan ...   \n","13872     0  Hergestellt in Bayern: Schützen Klarsicht-Mask...   \n","15958     1  Nächster Verfassungsbruch im Shithole Berlin: ...   \n","37342     0  Bund will Solo-Selbstständige aus der Kultur u...   \n","38546     0  Der sonderbare Sonderweg des Bodo RamelowDer M...   \n","15549     0  Bundesliga-Eröffnungsspiel in München doch ohn...   \n","18591     1  Ist Georg Restle muslimfeindlich?Es war abzuse...   \n","\n","                                                     url  \\\n","36237  https://www.journalistenwatch.com/2020/05/03/b...   \n","31918  https://de.rt.com/inland/109592-corona-strateg...   \n","40967  https://www.zeit.de/politik/2020-12/jahresruec...   \n","1050   https://www.zeit.de/2021/07/superfan-tokio-hot...   \n","13872  https://www.sueddeutsche.de/bayern/grossweil-s...   \n","15958  https://www.journalistenwatch.com/2020/09/20/n...   \n","37342  https://www.zeit.de/politik/deutschland/2020-1...   \n","38546  https://www.zeit.de/politik/deutschland/2020-1...   \n","15549  https://www.tagesspiegel.de/sport/saisonstart-...   \n","18591  https://www.journalistenwatch.com/2020/08/25/i...   \n","\n","                      source  \n","36237  journalistenwatch.com  \n","31918              de.rt.com  \n","40967                zeit.de  \n","1050                 zeit.de  \n","13872        sueddeutsche.de  \n","15958  journalistenwatch.com  \n","37342                zeit.de  \n","38546                zeit.de  \n","15549        tagesspiegel.de  \n","18591  journalistenwatch.com  "],"text/html":["\n","  <div id=\"df-0e94ff08-12d8-4b7f-9827-128b57d480fd\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>fake</th>\n","      <th>text</th>\n","      <th>url</th>\n","      <th>source</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      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<td>0</td>\n","      <td>Hergestellt in Bayern: Schützen Klarsicht-Mask...</td>\n","      <td>https://www.sueddeutsche.de/bayern/grossweil-s...</td>\n","      <td>sueddeutsche.de</td>\n","    </tr>\n","    <tr>\n","      <th>15958</th>\n","      <td>1</td>\n","      <td>Nächster Verfassungsbruch im Shithole Berlin: ...</td>\n","      <td>https://www.journalistenwatch.com/2020/09/20/n...</td>\n","      <td>journalistenwatch.com</td>\n","    </tr>\n","    <tr>\n","      <th>37342</th>\n","      <td>0</td>\n","      <td>Bund will Solo-Selbstständige aus der Kultur u...</td>\n","      <td>https://www.zeit.de/politik/deutschland/2020-1...</td>\n","      <td>zeit.de</td>\n","    </tr>\n","    <tr>\n","      <th>38546</th>\n","      <td>0</td>\n","      <td>Der sonderbare Sonderweg des Bodo RamelowDer M...</td>\n","      <td>https://www.zeit.de/politik/deutschland/2020-1...</td>\n","      <td>zeit.de</td>\n","    </tr>\n","    <tr>\n","      <th>15549</th>\n","      <td>0</td>\n","      <td>Bundesliga-Eröffnungsspiel in München doch ohn...</td>\n","      <td>https://www.tagesspiegel.de/sport/saisonstart-...</td>\n","      <td>tagesspiegel.de</td>\n","    </tr>\n","    <tr>\n","      <th>18591</th>\n","      <td>1</td>\n","      <td>Ist Georg Restle muslimfeindlich?Es war abzuse...</td>\n","      <td>https://www.journalistenwatch.com/2020/08/25/i...</td>\n","      <td>journalistenwatch.com</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>\n","      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0e94ff08-12d8-4b7f-9827-128b57d480fd')\"\n","              title=\"Convert this dataframe to an interactive table.\"\n","              style=\"display:none;\">\n","        \n","  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n","       width=\"24px\">\n","    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n","    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 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From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n","  FutureWarning\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 2520x648 with 1 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\n"},"metadata":{"needs_background":"light"}}],"source":["#UNBERENIGTE DATEN\n","#Ploten der Verteilung der Datensätze nach Quellen\n","plt.figure(figsize=(35,9))\n","\n","sns.countplot(df.source)\n","plt.title('Total der Fake und Real Datensätze nach Quelle', fontsize=24)\n","plt.ylabel('Anzahl', fontsize=16)\n","plt.xlabel('')\n","plt.xticks(fontsize=16)\n","\n","plt.show()"]},{"cell_type":"code","execution_count":7,"metadata":{"id":"i2_F5bNEXZFK","executionInfo":{"status":"ok","timestamp":1652525543269,"user_tz":-120,"elapsed":5568,"user":{"displayName":"asdf Account","userId":"01950538320463113695"}}},"outputs":[],"source":["#Berechnung der länge der einzelnen Datensätze\n","df['text'] = df['text'].astype(str)\n","df['len'] = df['text'].str.split().map(lambda x: len(x))"]},{"cell_type":"code","execution_count":8,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":334},"executionInfo":{"elapsed":472,"status":"ok","timestamp":1652525543706,"user":{"displayName":"asdf Account","userId":"01950538320463113695"},"user_tz":-120},"id":"QLn0W-g1OJ9V","outputId":"5a73d7b4-1af8-42d8-b4d2-0540ab3d36c9"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 864x360 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}],"source":["plt.figure(figsize=(12, 5))\n","sns.boxplot(x='source', y='len', data=df)\n","plt.show()"]},{"cell_type":"code","execution_count":9,"metadata":{"id":"og3G3F2U72ME","executionInfo":{"status":"ok","timestamp":1652525543709,"user_tz":-120,"elapsed":24,"user":{"displayName":"asdf Account","userId":"01950538320463113695"}}},"outputs":[],"source":["df = df[df['text'].str.split().str.len().gt(400)]\n","df = df[df['text'].str.split().str.len().lt(4500)]"]},{"cell_type":"code","execution_count":10,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":334},"executionInfo":{"elapsed":25,"status":"ok","timestamp":1652525543711,"user":{"displayName":"asdf Account","userId":"01950538320463113695"},"user_tz":-120},"id":"RNj845AhZdbL","outputId":"36f86a9c-27b9-47c4-bfbb-993ed89fc051"},"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 864x360 with 1 Axes>"],"image/png":"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\n"},"metadata":{"needs_background":"light"}}],"source":["plt.figure(figsize=(12, 5))\n","sns.boxplot(x='fake', y='len', data=df)\n","plt.show()"]},{"cell_type":"code","execution_count":11,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":515},"executionInfo":{"elapsed":311,"status":"ok","timestamp":1652525544001,"user":{"displayName":"asdf Account","userId":"01950538320463113695"},"user_tz":-120},"id":"jOTzQc1aqC72","outputId":"eb09e7ec-2e93-4030-8d9c-9d198b471411"},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n","  FutureWarning\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 2520x648 with 1 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\n"},"metadata":{"needs_background":"light"}}],"source":["plt.figure(figsize=(35,9))\n","\n","sns.countplot(df.source)\n","plt.title('Total Fake and Real News Articles', fontsize=24)\n","plt.ylabel('Total', fontsize=16)\n","plt.xlabel('')\n","plt.xticks(fontsize=16)\n","\n","plt.show()"]},{"cell_type":"code","execution_count":12,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":624},"executionInfo":{"elapsed":304,"status":"ok","timestamp":1652525544297,"user":{"displayName":"asdf Account","userId":"01950538320463113695"},"user_tz":-120},"id":"LID7HEOc6sSC","outputId":"9bb4b566-741e-469b-8127-f0c5ddea80b7"},"outputs":[{"output_type":"stream","name":"stderr","text":["/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n","  FutureWarning\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1152x648 with 1 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\n"},"metadata":{"needs_background":"light"}}],"source":["#Aufteilung Fake und Real News\n","plt.figure(figsize=(16,9))\n","\n","sns.countplot(df.fake)\n","plt.title('Total der Real und Fake Datensätze', fontsize=24)\n","plt.ylabel('Total', fontsize=16)\n","plt.xlabel('')\n","plt.xticks([0,1], ['Real','Fake'], fontsize=16)\n","plt.xticks(fontsize=16)\n","\n","plt.show()"]},{"cell_type":"code","source":["import nltk\n","from nltk.stem.snowball import SnowballStemmer\n","nltk.download('stopwords')\n","stop = set(stopwords.words('german'))\n","punctuation = list(string.punctuation)\n","stop.update(punctuation)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VD0cRCcpGM7k","executionInfo":{"status":"ok","timestamp":1652525544299,"user_tz":-120,"elapsed":13,"user":{"displayName":"asdf Account","userId":"01950538320463113695"}},"outputId":"ea3f7001-7194-4a67-a5d3-f8b3b75acfd5"},"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["[nltk_data] Downloading package stopwords to /root/nltk_data...\n","[nltk_data]   Unzipping corpora/stopwords.zip.\n"]}]},{"cell_type":"code","execution_count":14,"metadata":{"id":"I4FAWAV8eySw","executionInfo":{"status":"ok","timestamp":1652525544563,"user_tz":-120,"elapsed":11,"user":{"displayName":"asdf Account","userId":"01950538320463113695"}}},"outputs":[],"source":["def removeurls(text):\n","  return re.sub(r'''(?i)\\b((?:https?://|www\\d{0,3}[.]|[a-z0-9.\\-]+[.][a-z]{2,4}/)(?:[^\\s()<>]+|\\(([^\\s()<>]+|(\\([^\\s()<>]+\\)))*\\))+(?:\\(([^\\s()<>]+|(\\([^\\s()<>]+\\)))*\\)|[^\\s`!()\\[\\]{};:'\".,<>?«»“”‘’]))''', \" \", text)\n","def removeklatv(text):\n","  return re.sub(\"(?i)kla.tv:\",\"Quelle\", text)\n","def remove_emojis(data):\n","    emoj = re.compile(\"[\"\n","        u\"\\U0001F600-\\U0001F64F\"  # emoticons\n","        u\"\\U0001F300-\\U0001F5FF\"  # symbols & pictographs\n","        u\"\\U0001F680-\\U0001F6FF\"  # transport & map symbols\n","        u\"\\U0001F1E0-\\U0001F1FF\"  # flags (iOS)\n","        u\"\\U00002500-\\U00002BEF\"  # chinese char\n","        u\"\\U00002702-\\U000027B0\"\n","        u\"\\U00002702-\\U000027B0\"\n","        u\"\\U000024C2-\\U0001F251\"\n","        u\"\\U0001f926-\\U0001f937\"\n","        u\"\\U00010000-\\U0010ffff\"\n","        u\"\\u2640-\\u2642\" \n","        u\"\\u2600-\\u2B55\"\n","        u\"\\u200d\"\n","        u\"\\u23cf\"\n","        u\"\\u23e9\"\n","        u\"\\u231a\"\n","        u\"\\ufe0f\"  # dingbats\n","        u\"\\u3030\"\n","                      \"]+\", re.UNICODE)\n","    return re.sub(emoj, '', data)\n","\n","def strip_html(text):\n","    soup = BeautifulSoup(text, \"html.parser\")\n","    return soup.get_text()\n","\n","# Removing the square brackets\n","def remove_between_square_brackets(text):\n","    return re.sub('\\[[^]]*\\]', '', text)\n","\n","# Removing URL's\n","def remove_urls(text):\n","    return re.sub(r'http\\S+', '', text)\n","\n","# Removing the stopwords from text\n","def remove_stopwords(text):\n","    final_text = []\n","    for i in text.split():\n","        if i.strip().lower() not in stop:\n","            final_text.append(i.strip())\n","    return \" \".join(final_text)\n","def wordstem(text):\n","    stemmer = SnowballStemmer(\"german\")\n","    final_text = []\n","    for i in text.split():\n","      word=\"\"\n","      for z in i:\n","        if z.isalpha():\n","          word=word+z\n","        else:\n","          if word !=\"\":\n","            stemed=stemmer.stem(word)\n","            if stemed == \"\":\n","                stemed=word\n","            final_text.append(stemed)\n","            #print(word, \"/\", stemed)\n","          word=\"\"\n","          final_text.append(z)\n","          #final_text.append(stemmer.stem(i.strip()))\n","        final_text.append(\" \")\n","    return \"\".join(final_text)\n","# Final function to clean the text\n","def clean_text(text):\n","    text = strip_html(text)\n","    text = remove_between_square_brackets(text)\n","    text = remove_urls(text)\n","    text = remove_stopwords(text)\n","    #text = wordstem(text)\n","    return text"]},{"cell_type":"code","execution_count":15,"metadata":{"id":"3x2-vok_1hlM","scrolled":true,"executionInfo":{"status":"ok","timestamp":1652525544564,"user_tz":-120,"elapsed":11,"user":{"displayName":"asdf Account","userId":"01950538320463113695"}}},"outputs":[],"source":["#Quellen Entfernen\n","df['text']=df['text'].replace(\"kla.tv\", \"Quelle\")\n","df['text']=df['text'].replace(\"KLA.TV\", \"Quelle\")\n","df['text']=df['text'].replace(\"KLA.TV:\", \"Quelle\")\n","df['text']=df['text'].replace(\"Kla.TV:\", \"Quelle\")\n","df['text']=df['text'].replace(\"Kla.TV\", \"Quelle\")\n","df['text']=df['text'].replace(\"blick.ch\", \"Quelle\")\n","df['text']=df['text'].replace(\"watson.ch\", \"Quelle\")\n","df['text']=df['text'].replace(\"watson\", \"Quelle\")\n","df['text']=df['text'].replace(\"Zeit Online\", \"Quelle\")\n","df['text']=df['text'].replace(\"Zeit online\", \"Quelle\")\n","df['text']=df['text'].replace(\"zeit online\", \"Quelle\")\n","df['text']=df['text'].replace(\"(...)\", \"\")\n","df['text']=df['text'].replace(\"...\", \".\")\n","df['text']=df['text'].replace(\"!!!\", \"!\")\n","df['text']=df['text'].replace(\"???\", \"?\")\n","df['text']=df['text'].replace(\"ß\", \"ss\")"]},{"cell_type":"code","source":["df['text']=df['text'].apply(removeurls)\n","df['text']=df['text'].apply(removeklatv)\n","df['text']=df['text'].apply(remove_emojis)\n","df['text']=df['text'].apply(clean_text)"],"metadata":{"id":"UxCiVoSMF8gD","executionInfo":{"status":"ok","timestamp":1652525591963,"user_tz":-120,"elapsed":47408,"user":{"displayName":"asdf Account","userId":"01950538320463113695"}}},"execution_count":16,"outputs":[]},{"cell_type":"code","execution_count":17,"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":363},"executionInfo":{"elapsed":37,"status":"ok","timestamp":1652525591966,"user":{"displayName":"asdf Account","userId":"01950538320463113695"},"user_tz":-120},"id":"U5UbDsxZvhGP","outputId":"af8b9c34-2a79-4961-e907-448abbf77d4c"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["       fake                                               text  \\\n","27897     1  China: 400 Millionen Menschen AusgangssperreDi...   \n","1806      0  Etwa 1,5 Millionen weitere Anträge Arbeitslose...   \n","24304     0  Keir Starmer rückt Labour mehr MitteDer neue L...   \n","9496      0  Neustart KuhstallMein ganzes Leben lang Städte...   \n","37284     0  Adieu, Glühwein! nett dir...Der Glühwein to go...   \n","34484     1  Sieben Corona-Fälle Ankerzentrum Geldersheim: ...   \n","32574     1  Julian Reichelt greift Corona-Chaos-Politik Me...   \n","17461     0  Omas RahmkartoffelnKleiner Aufwand, großer Gen...   \n","38222     0  Göttingen erlässt strengere Schutzvorkehrungen...   \n","17291     1  nächste Corona-kritische Arzt Zulassung bangen...   \n","\n","                                                     url  \\\n","27897  https://www.contra-magazin.com/2020/02/china-4...   \n","1806   https://www.zeit.de/gesellschaft/2020-06/usa-a...   \n","24304  https://www.tagesspiegel.de/politik/nachfolger...   \n","9496   https://www.sueddeutsche.de/muenchen/stefanie-...   \n","37284  https://www.zeit.de/2020/52/gluehwein-to-go-we...   \n","34484  https://politikstube.com/sieben-corona-faelle-...   \n","32574  https://www.freiewelt.net/nachricht/bild-chef-...   \n","17461  https://www.tagesspiegel.de/themen/genuss/das-...   \n","38222  https://www.zeit.de/gesellschaft/2020-06/goett...   \n","17291  https://www.journalistenwatch.com/2020/12/15/d...   \n","\n","                      source   len  \n","27897     contra-magazin.com   301  \n","1806                 zeit.de   235  \n","24304        tagesspiegel.de   435  \n","9496         sueddeutsche.de   454  \n","37284                zeit.de  1275  \n","34484       politikstube.com   166  \n","32574          freiewelt.net   193  \n","17461        tagesspiegel.de   412  \n","38222                zeit.de   307  \n","17291  journalistenwatch.com   439  "],"text/html":["\n","  <div id=\"df-ac551055-b8a4-46c9-be61-f28437939c57\">\n","    <div class=\"colab-df-container\">\n","      <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>fake</th>\n","      <th>text</th>\n","      <th>url</th>\n","      <th>source</th>\n","      <th>len</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>27897</th>\n","      <td>1</td>\n","      <td>China: 400 Millionen Menschen AusgangssperreDi...</td>\n","      <td>https://www.contra-magazin.com/2020/02/china-4...</td>\n","      <td>contra-magazin.com</td>\n","      <td>301</td>\n","    </tr>\n","    <tr>\n","      <th>1806</th>\n","      <td>0</td>\n","      <td>Etwa 1,5 Millionen weitere Anträge Arbeitslose...</td>\n","      <td>https://www.zeit.de/gesellschaft/2020-06/usa-a...</td>\n","      <td>zeit.de</td>\n","      <td>235</td>\n","    </tr>\n","    <tr>\n","      <th>24304</th>\n","      <td>0</td>\n","      <td>Keir Starmer rückt Labour mehr MitteDer neue L...</td>\n","      <td>https://www.tagesspiegel.de/politik/nachfolger...</td>\n","      <td>tagesspiegel.de</td>\n","      <td>435</td>\n","    </tr>\n","    <tr>\n","      <th>9496</th>\n","      <td>0</td>\n","      <td>Neustart KuhstallMein ganzes Leben lang Städte...</td>\n","      <td>https://www.sueddeutsche.de/muenchen/stefanie-...</td>\n","      <td>sueddeutsche.de</td>\n","      <td>454</td>\n","    </tr>\n","    <tr>\n","      <th>37284</th>\n","      <td>0</td>\n","      <td>Adieu, Glühwein! nett dir...Der Glühwein to go...</td>\n","      <td>https://www.zeit.de/2020/52/gluehwein-to-go-we...</td>\n","      <td>zeit.de</td>\n","      <td>1275</td>\n","    </tr>\n","    <tr>\n","      <th>34484</th>\n","      <td>1</td>\n","      <td>Sieben Corona-Fälle Ankerzentrum Geldersheim: ...</td>\n","      <td>https://politikstube.com/sieben-corona-faelle-...</td>\n","      <td>politikstube.com</td>\n","      <td>166</td>\n","    </tr>\n","    <tr>\n","      <th>32574</th>\n","      <td>1</td>\n","      <td>Julian Reichelt greift Corona-Chaos-Politik Me...</td>\n","      <td>https://www.freiewelt.net/nachricht/bild-chef-...</td>\n","      <td>freiewelt.net</td>\n","      <td>193</td>\n","    </tr>\n","    <tr>\n","      <th>17461</th>\n","      <td>0</td>\n","      <td>Omas RahmkartoffelnKleiner Aufwand, großer Gen...</td>\n","      <td>https://www.tagesspiegel.de/themen/genuss/das-...</td>\n","      <td>tagesspiegel.de</td>\n","      <td>412</td>\n","    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