Downloads provided by UsageCountsPlease grant OpenAIRE to access and update your ORCID works.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
This Research product is the result of merged Research products in OpenAIRE.
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
Webis ChangeMyView Corpus 2020 (Webis-CMV-20)
Al-Khatib, Khalid; Völske, Michael; Syed, Shahbaz; Kolyada, Nikolay; Stein, Benno;
Al-Khatib, Khalid; Völske, Michael; Syed, Shahbaz; Kolyada, Nikolay; Stein, Benno;
Webis ChangeMyView Corpus 2020 (Webis-CMV-20)
The Webis-CMV-20 dataset comprises all available posts and comments in the ChangeMyView subreddit from the foundation of the subreddit 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. Dataset specification All files are in bzip2-compressed JSON Lines format. threads.jsonl: contains all the selected discussion threads from CMV pairs.jsonl: each record contains submission, delta-comment and nondelta-comment and the comments' similarity score posts-malleability.jsonl: contains posts for opinion mallebility prediction, in the format provided in the original Reddit Crawl dataset author_entity_category.jsonl: 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: [title, wikidata_id, wikipedia_page_id, mentioned_entity_title, wikifier_score, subreddit_name, subreddit_id, subreddit_category_name, subreddit_topcategory_name] author_liwc.jsonl: personality traits features computed with LIWC for the authors from pairs.jsonl and post_malleability.jsonl datasets author_subreddit.jsonl: for each author statistics of all number of all posts (submissions/comments) across all subreddits are provided author_subreddit_category.jsonl: similar to author_subreddit.jsonl, the statistics of all author posts is grouped by top-categories and categories according to snoopsnoo.com
persuasiveness, argumentation, social media
persuasiveness, argumentation, social media
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average views 890 downloads 389 citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average - 890views389downloads
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP!influenceInfluence provided by BIP!
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Influence provided by BIP!impulseImpulse provided by BIP!
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
Impulse provided by BIP!viewsViews provided by UsageCounts
Views provided by UsageCountsdownloadsDownloads provided by UsageCounts
Downloads provided by UsageCounts Average
Average
Average
890
389
The Webis-CMV-20 dataset comprises all available posts and comments in the ChangeMyView subreddit from the foundation of the subreddit 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. Dataset specification All files are in bzip2-compressed JSON Lines format. threads.jsonl: contains all the selected discussion threads from CMV pairs.jsonl: each record contains submission, delta-comment and nondelta-comment and the comments' similarity score posts-malleability.jsonl: contains posts for opinion mallebility prediction, in the format provided in the original Reddit Crawl dataset author_entity_category.jsonl: 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: [title, wikidata_id, wikipedia_page_id, mentioned_entity_title, wikifier_score, subreddit_name, subreddit_id, subreddit_category_name, subreddit_topcategory_name] author_liwc.jsonl: personality traits features computed with LIWC for the authors from pairs.jsonl and post_malleability.jsonl datasets author_subreddit.jsonl: for each author statistics of all number of all posts (submissions/comments) across all subreddits are provided author_subreddit_category.jsonl: similar to author_subreddit.jsonl, the statistics of all author posts is grouped by top-categories and categories according to snoopsnoo.com