Voat × Entertainment

19 datasets that are both from Voat and tagged Entertainment.

19 datasets.

Voat Media & Entertainment Communities Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 159,697 submissions, 524,549 comments, 39,227 users, 238,664 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Thematic cluster of 70 Voat subverses covering voat media & entertainment communities, combining 159,697 submissions and 524,549 comments into a single user collaboration network for cross-community analysis.. Suitable for cross-community analysis, topic modeling, platform dynamics, social network analysis, content moderation research.

630K records39.2K nodes238.7K edges2022

Voat — v/funny Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 46,877 submissions, 365,857 comments, 26,883 users, 193,345 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/funny, covering its full lifetime on the platform (2013–2020). Includes all 46,877 submissions and 365,857 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

364.9K records26.9K nodes193.3K edges2022

Voat — v/gaming Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 28,755 submissions, 139,916 comments, 17,940 users, 75,975 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/gaming, covering its full lifetime on the platform (2013–2020). Includes all 28,755 submissions and 139,916 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

162K records17.9K nodes76K edges2022

MADOC: Voat / funny Analyzed

A MADOC (Voat, funny) dataset of 17,128 users and 82,319 reply edges from 143,945 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.

143.9K records17.1K nodes82.3K edges2025

MADOC: Voat / gaming Analyzed

A MADOC (Voat, gaming) dataset of 9,794 users and 28,073 reply edges from 69,478 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.

69.5K records9.8K nodes28.1K edges2025

Voat — v/music Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 25,680 submissions, 33,410 comments, 7,717 users, 17,094 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/music, covering its full lifetime on the platform (2013–2020). Includes all 25,680 submissions and 33,410 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

56.1K records7.7K nodes17.1K edges2022

Voat — v/Showerthoughts Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 8,902 submissions, 45,273 comments, 6,641 users, 27,324 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/Showerthoughts, covering its full lifetime on the platform (2013–2020). Includes all 8,902 submissions and 45,273 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

53K records6.6K nodes27.3K edges2022

Voat — v/WTF Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 8,037 submissions, 48,414 comments, 7,630 users, 27,404 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/WTF, covering its full lifetime on the platform (2013–2020). Includes all 8,037 submissions and 48,414 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

50K records7.6K nodes27.4K edges2022

Voat — v/movies Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 8,458 submissions, 41,142 comments, 8,403 users, 24,105 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/movies, covering its full lifetime on the platform (2013–2020). Includes all 8,458 submissions and 41,142 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

47.3K records8.4K nodes24.1K edges2022

Voat — v/milliondollarextreme Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 7,351 submissions, 43,236 comments, 3,637 users, 23,227 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/milliondollarextreme, covering its full lifetime on the platform (2013–2020). Includes all 7,351 submissions and 43,236 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

45.3K records3.6K nodes23.2K edges2022

Voat — v/Hiddenlol Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,387 submissions, 29,301 comments, 2,726 users, 10,259 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/hiddenlol, covering its full lifetime on the platform (2013–2020). Includes all 3,387 submissions and 29,301 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

28.7K records2.7K nodes10.3K edges2022

MADOC: Voat / gifs Analyzed

A MADOC (Voat, gifs) dataset of 5,022 users and 11,435 reply edges from 21,573 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.

21.6K records5K nodes11.4K edges2025

Voat — v/KotakuInAction Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,999 submissions, 16,600 comments, 3,388 users, 9,861 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/KotakuInAction, covering its full lifetime on the platform (2013–2020). Includes all 2,999 submissions and 16,600 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

19.2K records3.4K nodes9.9K edges2022

Voat — v/GamerGate Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 4,712 submissions, 13,027 comments, 2,306 users, 4,349 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/GamerGate, covering its full lifetime on the platform (2013–2020). Includes all 4,712 submissions and 13,027 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

17.1K records2.3K nodes4.3K edges2022

Voat — v/gamingfringe Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 4,720 submissions, 7,061 comments, 1,225 users, 1,310 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/gamingfringe, covering its full lifetime on the platform (2013–2020). Includes all 4,720 submissions and 7,061 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

14.4K records1.2K nodes1.3K edges2022

Voat — v/Jokes Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,745 submissions, 8,834 comments, 2,476 users, 5,476 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/Jokes, covering its full lifetime on the platform (2013–2020). Includes all 3,745 submissions and 8,834 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

13K records2.5K nodes5.5K edges2022

Voat — v/books Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,142 submissions, 10,877 comments, 4,220 users, 7,394 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/books, covering its full lifetime on the platform (2013–2020). Includes all 2,142 submissions and 10,877 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

12.8K records4.2K nodes7.4K edges2022

Voat — v/tv Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,585 submissions, 6,577 comments, 2,733 users, 4,206 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/tv, covering its full lifetime on the platform (2013–2020). Includes all 2,585 submissions and 6,577 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

8.9K records2.7K nodes4.2K edges2022

MADOC: Voat / KotakuInAction Analyzed

A MADOC (Voat, KotakuInAction) dataset of 1,878 users and 3,854 reply edges from 7,853 interactions, collected by Dankulov et al. via platform APIs, published at ICWSM 2025. Each record contains user-user reply edges, post and comment text, per-record sentiment scores (VADER and TextBlob), subjectivity scores, and toxicity scores (ToxiGen). The dataset is notable for its FAIR-compliant dataset with pre-computed NLP quality labels (sentiment, subjectivity, toxicity) per record, enabling network analysis and content quality research without additional annotation. Intended for research into social network analysis, toxicity detection, cross-platform community dynamics, misinformation research, and hate speech propagation studies.

7.9K records1.9K nodes3.9K edges2025