January 14, 2020 Conference paper Open Access

Baumgartner, Jason; Zannettou, Savvas; Squire, Megan; Blackburn, Jeremy

JSON-LD (schema.org) Export

{
  "description": "<p>The Pushshift Telegram Dataset</p>\n\n<p>The dataset consists of three files:</p>\n\n<p><em>Accounts.ndjson:&nbsp;</em>Provides data for 2.2M Telegram users that were active in the channels we crawled.</p>\n\n<p><em>Channels.ndjson:&nbsp;</em>Provides data for 28K Telegram channels that we crawled.</p>\n\n<p><em>Messages.ndjson: </em>Provides data for 317M Telegram messages that were posted by 2.2M Telegram users in 28K Telegram channels.</p>\n\n<p>Each file is a newline delimited json (ndjson) file that includes a json object with the data for each account/channel/message. The format of each object is according to the Telethon API (<a href=\"https://docs.telethon.dev/en/latest/\">https://docs.telethon.dev/en/latest/</a>), which is a Python interface for Telegram&#39;s API.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Pushshift.io", 
      "@type": "Person", 
      "name": "Baumgartner, Jason"
    }, 
    {
      "affiliation": "Max Planck Institute", 
      "@type": "Person", 
      "name": "Zannettou, Savvas"
    }, 
    {
      "affiliation": "Elon University", 
      "@type": "Person", 
      "name": "Squire, Megan"
    }, 
    {
      "affiliation": "Binghamton University", 
      "@type": "Person", 
      "name": "Blackburn, Jeremy"
    }
  ], 
  "headline": "The Pushshift Telegram Dataset", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-01-14", 
  "url": "https://zenodo.org/record/3607497", 
  "keywords": [
    "Telegram", 
    "pushshift"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3607497", 
  "@id": "https://doi.org/10.5281/zenodo.3607497", 
  "@type": "ScholarlyArticle", 
  "name": "The Pushshift Telegram Dataset"
}