Dataset Open Access
Webis ChangeMyView Corpus 2020 (Webis-CMV-20)
Al-Khatib, Khalid;
Völske, Michael;
Syed, Shahbaz;
Kolyada, Nikolay;
Stein, Benno
DCAT Export
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<dct:title>Webis ChangeMyView Corpus 2020 (Webis-CMV-20)</dct:title>
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<dcat:keyword>social media</dcat:keyword>
<dcat:keyword>argumentation</dcat:keyword>
<dcat:keyword>persuasiveness</dcat:keyword>
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<dct:description><p>The Webis-CMV-20 dataset comprises all&nbsp;available posts and comments in the <a href="https://reddit.com/r/changemyview">ChangeMyView</a>&nbsp;subreddit&nbsp;from the foundation of the subreddit&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.</p> <p><strong>Dataset specification</strong></p> <p>All files are in bzip2-compressed <a href="http://jsonlines.org/">JSON Lines</a> format.</p> <ul> <li><strong>threads.jsonl:</strong> contains all the selected discussion threads from CMV</li> <li><strong>pairs.jsonl:</strong> each record contains submission, delta-comment and nondelta-comment and the comments&#39;&nbsp;similarity score</li> <li><strong>posts-malleability.jsonl:</strong> contains&nbsp;posts&nbsp;for&nbsp;opinion mallebility prediction,&nbsp;in the format provided in the original <a href="https://files.pushshift.io/reddit/">Reddit Crawl</a> dataset</li> <li><strong>author_entity_category.jsonl:</strong> 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:&nbsp;</li> </ul> <pre><code class="language-json">[title, wikidata_id, wikipedia_page_id, mentioned_entity_title, wikifier_score, subreddit_name, subreddit_id, subreddit_category_name, subreddit_topcategory_name]</code></pre> <ul> <li><strong>author_liwc.jsonl:</strong>&nbsp;personality traits features computed with <a href="https://liwc.wpengine.com/">LIWC</a> for the authors from pairs.jsonl and post_malleability.jsonl datasets</li> <li><strong>author_subreddit.jsonl:</strong> for each author statistics of all number of all posts (submissions/comments) across all subreddits are provided</li> <li><strong>author_subreddit_category.jsonl:</strong> similar to author_subreddit.jsonl, the statistics of all author posts is grouped by top-categories and categories according to <a href="https://snoopsnoo.com/subreddits/">snoopsnoo.com</a><br> &nbsp;</li> </ul></dct:description>
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350
162
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 350 | 350 |
| Downloads | 162 | 162 |
| Data volume | 69.6 GB | 69.6 GB |
| Unique views | 298 | 298 |
| Unique downloads | 76 | 76 |
Indexed in
- Publication date:
- April 30, 2020
- DOI:
-
- Keyword(s):
- social media argumentation persuasiveness
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International