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Software for "The Good, the Bad and the Bait: Detecting and Characterizing Clickbait on YouTube"

Savvas Zannettou; Sotirios Chatzis; Kostantinos Papadamou; Michael Sirivianos


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{
  "description": "<p>This is the software&nbsp;used for the research &quot;The Good, the Bad and the Bait: Detecting and Characterizing Clickbait on YouTube&quot;, with DOI:&nbsp;<a href=\"http://10.0.4.85/SPW.2018.00018\">10.1109/SPW.2018.00018</a>.</p>\n\n<p>The dataset of this study may be found <a href=\"https://zenodo.org/record/2546908#.XXk61igzaUk\">here</a>.</p>\n\n<p>&nbsp;</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Cyprus University of Technology", 
      "@type": "Person", 
      "name": "Savvas Zannettou"
    }, 
    {
      "affiliation": "Cyprus University of Technology", 
      "@type": "Person", 
      "name": "Sotirios Chatzis"
    }, 
    {
      "affiliation": "Cyprus University of Technology", 
      "@type": "Person", 
      "name": "Kostantinos Papadamou"
    }, 
    {
      "affiliation": "Cyprus University of Technology", 
      "@type": "Person", 
      "name": "Michael Sirivianos"
    }
  ], 
  "url": "https://zenodo.org/record/3405484", 
  "datePublished": "2019-09-11", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3405484", 
  "@id": "https://doi.org/10.5281/zenodo.3405484", 
  "@type": "SoftwareSourceCode", 
  "name": "Software for \"The Good, the Bad and the Bait: Detecting and Characterizing Clickbait on YouTube\""
}
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