April 30, 2020 Dataset Open Access

Al-Khatib, Khalid; Völske, Michael; Syed, Shahbaz; Kolyada, Nikolay; Stein, Benno

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  <identifier identifierType="DOI">10.5281/zenodo.3778298</identifier>
  <creators>
    <creator>
      <creatorName>Al-Khatib, Khalid</creatorName>
      <givenName>Khalid</givenName>
      <familyName>Al-Khatib</familyName>
      <affiliation>Bauhaus-Universität Weimar</affiliation>
    </creator>
    <creator>
      <creatorName>Völske, Michael</creatorName>
      <givenName>Michael</givenName>
      <familyName>Völske</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-9283-6846</nameIdentifier>
      <affiliation>Bauhaus-Universität Weimar</affiliation>
    </creator>
    <creator>
      <creatorName>Syed, Shahbaz</creatorName>
      <givenName>Shahbaz</givenName>
      <familyName>Syed</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-4821-1507</nameIdentifier>
      <affiliation>Leipzig University</affiliation>
    </creator>
    <creator>
      <creatorName>Kolyada, Nikolay</creatorName>
      <givenName>Nikolay</givenName>
      <familyName>Kolyada</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6493-9557</nameIdentifier>
      <affiliation>Bauhaus-Universität Weimar</affiliation>
    </creator>
    <creator>
      <creatorName>Stein, Benno</creatorName>
      <givenName>Benno</givenName>
      <familyName>Stein</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-9033-2217</nameIdentifier>
      <affiliation>Bauhaus-Universität Weimar</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Webis ChangeMyView Corpus 2020 (Webis-CMV-20)</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>social media</subject>
    <subject>argumentation</subject>
    <subject>persuasiveness</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-04-30</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3778298</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3778297</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/webis</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 Webis-CMV-20 dataset comprises all&amp;nbsp;available posts and comments in the &lt;a href="https://reddit.com/r/changemyview"&gt;ChangeMyView&lt;/a&gt;&amp;nbsp;subreddit&amp;nbsp;from the foundation of the subreddit&amp;nbsp;in 2005, until September 2017. From these, we have derived two sub-datasets for the tasks of persuasiveness prediction, and opinion malleability prediction. In addition, the corpus comprises historical posts by CMV authors, and derived personal characteristics.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Dataset specification&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;All files are in bzip2-compressed &lt;a href="http://jsonlines.org/"&gt;JSON Lines&lt;/a&gt; format.&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;&lt;strong&gt;threads.jsonl:&lt;/strong&gt; contains all the selected discussion threads from CMV&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;pairs.jsonl:&lt;/strong&gt; each record contains submission, delta-comment and nondelta-comment and the comments&amp;#39;&amp;nbsp;similarity score&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;posts-malleability.jsonl:&lt;/strong&gt; contains&amp;nbsp;posts&amp;nbsp;for&amp;nbsp;opinion mallebility prediction,&amp;nbsp;in the format provided in the original &lt;a href="https://files.pushshift.io/reddit/"&gt;Reddit Crawl&lt;/a&gt; dataset&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;author_entity_category.jsonl:&lt;/strong&gt; each record contains the author and list of Wikipedia entities mentioned by the author in the messages across all subreddits. For each mentioned entity we provide the following data:&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;

&lt;pre&gt;&lt;code class="language-json"&gt;[title, wikidata_id, wikipedia_page_id, mentioned_entity_title, wikifier_score, subreddit_name, subreddit_id, subreddit_category_name, subreddit_topcategory_name]&lt;/code&gt;&lt;/pre&gt;

&lt;ul&gt;
	&lt;li&gt;&lt;strong&gt;author_liwc.jsonl:&lt;/strong&gt;&amp;nbsp;personality traits features computed with &lt;a href="https://liwc.wpengine.com/"&gt;LIWC&lt;/a&gt; for the authors from pairs.jsonl and post_malleability.jsonl datasets&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;author_subreddit.jsonl:&lt;/strong&gt; for each author statistics of all number of all posts (submissions/comments) across all subreddits are provided&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;author_subreddit_category.jsonl:&lt;/strong&gt; similar to author_subreddit.jsonl, the statistics of all author posts is grouped by top-categories and categories according to &lt;a href="https://snoopsnoo.com/subreddits/"&gt;snoopsnoo.com&lt;/a&gt;&lt;br&gt;
	&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;</description>
  </descriptions>
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