January 14, 2020 Conference paper Open Access

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

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  <identifier identifierType="DOI">10.5281/zenodo.3607497</identifier>
  <creators>
    <creator>
      <creatorName>Baumgartner, Jason</creatorName>
      <givenName>Jason</givenName>
      <familyName>Baumgartner</familyName>
      <affiliation>Pushshift.io</affiliation>
    </creator>
    <creator>
      <creatorName>Zannettou, Savvas</creatorName>
      <givenName>Savvas</givenName>
      <familyName>Zannettou</familyName>
      <affiliation>Max Planck Institute</affiliation>
    </creator>
    <creator>
      <creatorName>Squire, Megan</creatorName>
      <givenName>Megan</givenName>
      <familyName>Squire</familyName>
      <affiliation>Elon University</affiliation>
    </creator>
    <creator>
      <creatorName>Blackburn, Jeremy</creatorName>
      <givenName>Jeremy</givenName>
      <familyName>Blackburn</familyName>
      <affiliation>Binghamton University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>The Pushshift Telegram Dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Telegram</subject>
    <subject>pushshift</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-01-14</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3607497</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3607496</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The Pushshift Telegram Dataset&lt;/p&gt;

&lt;p&gt;The dataset consists of three files:&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Accounts.ndjson:&amp;nbsp;&lt;/em&gt;Provides data for 2.2M Telegram users that were active in the channels we crawled.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Channels.ndjson:&amp;nbsp;&lt;/em&gt;Provides data for 28K Telegram channels that we crawled.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;Messages.ndjson: &lt;/em&gt;Provides data for 317M Telegram messages that were posted by 2.2M Telegram users in 28K Telegram channels.&lt;/p&gt;

&lt;p&gt;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 (&lt;a href="https://docs.telethon.dev/en/latest/"&gt;https://docs.telethon.dev/en/latest/&lt;/a&gt;), which is a Python interface for Telegram&amp;#39;s API.&lt;/p&gt;</description>
  </descriptions>
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