En

1108 datasets tagged as the language “En”.

1,108 datasets — page 17 of 23.

CrisisLex Ontopic — 2013_Boston_Bombings Analyzed

A Twitter dataset of 10,012 tweets (0 on-topic, 10,012 off-topic), collected by Olteanu et al. via crowdsourcing for the Boston Bombings 2013 crisis. Each record contains tweet text, on-topic/off-topic label (crowdsourced majority voting), crisis type, country, year. The dataset is notable for its tweets from the Boston Bombings 2013 crisis, labeled by crowdsourcing workers for on-topic/off-topic classification with majority voting from at least 3 workers per tweet. Intended for research into crisis informatics, tweet filtering, on-topic detection, information extraction, crowdsourcing evaluation, event detection, situation awareness.

10K records2014

CrisisLex Ontopic — 2012_Sandy_Hurricane Analyzed

A Twitter dataset of 10,008 tweets (0 on-topic, 10,008 off-topic), collected by Olteanu et al. via crowdsourcing for the Sandy Hurricane 2012 crisis. Each record contains tweet text, on-topic/off-topic label (crowdsourced majority voting), crisis type, country, year. The dataset is notable for its tweets from the Sandy Hurricane 2012 crisis, labeled by crowdsourcing workers for on-topic/off-topic classification with majority voting from at least 3 workers per tweet. Intended for research into crisis informatics, tweet filtering, on-topic detection, information extraction, crowdsourcing evaluation, event detection, situation awareness.

10K records2014

CrisisLex Ontopic — 2013_West_Texas_Explosion Analyzed

A Twitter dataset of 10,006 tweets (0 on-topic, 10,006 off-topic), collected by Olteanu et al. via crowdsourcing for the West Texas Explosion 2013 crisis. Each record contains tweet text, on-topic/off-topic label (crowdsourced majority voting), crisis type, country, year. The dataset is notable for its tweets from the West Texas Explosion 2013 crisis, labeled by crowdsourcing workers for on-topic/off-topic classification with majority voting from at least 3 workers per tweet. Intended for research into crisis informatics, tweet filtering, on-topic detection, information extraction, crowdsourcing evaluation, event detection, situation awareness.

10K records2014

Facebook Bingham82 Network (FB100) Analyzed

A Facebook (Bingham82, September 2005) dataset of 10,004 users and 362,894 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (50% male, 50% female), graduation year, major (83 unique), dorm (48 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.015, major homophily: 0.0481.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

10K records10K nodes362.9K edges2012

CrisisLex Ontopic — 2013_Oklahoma_Tornado Analyzed

A Twitter dataset of 9,992 tweets (0 on-topic, 9,992 off-topic), collected by Olteanu et al. via crowdsourcing for the Oklahoma Tornado Season 2013 crisis. Each record contains tweet text, on-topic/off-topic label (crowdsourced majority voting), crisis type, country, year. The dataset is notable for its tweets from the Oklahoma Tornado Season 2013 crisis, labeled by crowdsourcing workers for on-topic/off-topic classification with majority voting from at least 3 workers per tweet. Intended for research into crisis informatics, tweet filtering, on-topic detection, information extraction, crowdsourcing evaluation, event detection, situation awareness.

10K records2014

Fake News Detection Dataset Analyzed

A News Articles (multiple sources) dataset of 9,900 news articles (5,000 fake, 4,900 real), collected by Vishakh Dapat via Kaggle (2023). Each record contains full article text and binary veracity label (Fake or Real). The dataset is notable for its balanced binary-labeled news corpus with approximately equal proportions of fake and real articles, making it well-suited as a classification benchmark. Intended for research into fake news detection, text classification benchmarking, misinformation topic modeling, and NLP feature engineering.

9.9K records2023

Facebook Duke14 Network (FB100) Analyzed

A Facebook (Duke14, September 2005) dataset of 9,895 users and 506,442 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (48% male, 52% female), graduation year, major (66 unique), dorm (135 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1014, major homophily: 0.0446.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

9.9K records9.9K nodes506.4K edges2012

Voat — v/JustGrowIt Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 1,716 submissions, 8,077 comments, 1,204 users, 3,178 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/justgrowit, covering its full lifetime on the platform (2013–2020). Includes all 1,716 submissions and 8,077 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

9.7K records1.2K nodes3.2K edges2022

Stack Exchange — ebooks.stackexchange.com Analyzed

A Stack Exchange (ebooks.stackexchange.com) dataset of 1,375 users, 1,813 answer-collaboration edges, 1,535 questions, 2,333 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from ebooks.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

9.7K records1.4K nodes1.8K edges2025

Voat — v/ReportSpammers Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 5,454 submissions, 4,224 comments, 443 users, 762 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/ReportSpammers, covering its full lifetime on the platform (2013–2020). Includes all 5,454 submissions and 4,224 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

9.6K records443 nodes762 edges2022

Voat — v/Libertarian Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,478 submissions, 7,280 comments, 1,833 users, 3,592 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/Libertarian, covering its full lifetime on the platform (2013–2020). Includes all 2,478 submissions and 7,280 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

9.5K records1.8K nodes3.6K edges2022

Voat — v/NFL Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,390 submissions, 7,290 comments, 946 users, 2,582 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/NFL, covering its full lifetime on the platform (2013–2020). Includes all 2,390 submissions and 7,290 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

9.5K records946 nodes2.6K edges2022

Facebook Georgetown15 Network (FB100) Analyzed

A Facebook (Georgetown15, September 2005) dataset of 9,414 users and 425,638 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (89 unique), dorm (15 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0145, major homophily: 0.0449.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

9.4K records9.4K nodes425.6K edges2012

HumAID — hurricane_irma_2017 Analyzed

A Twitter dataset of 9,399 tweets from hurricane_irma_2017, collected by Alam et al. for hurricane_irma_2017 crisis. Each record contains tweet text, humanitarian category label, train/dev/test split. Human-annotated crisis tweets from the hurricane_irma_2017 event. Suitable for crisis informatics, humanitarian response, text classification.

9.4K records2020

Voat — v/TheGreatAwakening Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,010 submissions, 6,188 comments, 1,554 users, 3,394 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/TheGreatAwakening, covering its full lifetime on the platform (2013–2020). Includes all 3,010 submissions and 6,188 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

9.4K records1.6K nodes3.4K edges2022

Stack Exchange — beer.stackexchange.com Analyzed

A Stack Exchange (beer.stackexchange.com) dataset of 1,265 users, 2,182 answer-collaboration edges, 1,173 questions, 2,580 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from beer.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

9.2K records1.3K nodes2.2K edges2025

TweetBLM: Black Lives Matter Hate Speech Dataset Analyzed

A Twitter (#BlackLivesMatter) dataset of 9,165 tweets (3,084 hate speech, 6,081 non-hate), collected by Giorgi et al. via Twitter API (2020). Each record contains tweet text, binary hate label (0/1), hashtags, source platform, user friends/favourites count, retweet flag. 9,165 BLM-related tweets with hate speech labels — captures online discourse during the 2020 Black Lives Matter movement with 3,084 hate speech examples. Suitable for hate speech detection, social movement analysis, BLM discourse research, Twitter content moderation, political communication, racial justice NLP.

9.2K records2021

HumAID — hurricane_harvey_2017 Analyzed

A Twitter dataset of 9,112 tweets from hurricane_harvey_2017, collected by Alam et al. for hurricane_harvey_2017 crisis. Each record contains tweet text, humanitarian category label, train/dev/test split. Human-annotated crisis tweets from the hurricane_harvey_2017 event. Suitable for crisis informatics, humanitarian response, text classification.

9.1K records2020

Facebook Maine59 Network (FB100) Analyzed

A Facebook (Maine59, September 2005) dataset of 9,069 users and 243,247 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (55% male, 45% female), graduation year, major (80 unique), dorm (52 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: -0.0049, major homophily: 0.0596.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

9.1K records9.1K nodes243.2K edges2012

Amazon QA — Appliances Analyzed

A Amazon dataset of 9,011 QA pairs in Appliances, collected by Wan and McAuley via Amazon API. Each record contains question, answer, question type, answer type, ASIN, timestamp. Amazon product Q&A data for Appliances. Suitable for question answering, sentiment analysis, product understanding, conversational AI.

9K records2016

Stack Exchange — proofassistants.stackexchange.com Analyzed

A Stack Exchange (proofassistants.stackexchange.com) dataset of 447 users, 993 answer-collaboration edges, 942 questions, 1,303 answers, collected by Stack Exchange, Inc. via the annual Stack Exchange Data Dump. Each record contains user nodes (reputation, badge counts, vote history), directed weighted edges (answerer→asker, weight=answer score, count=interactions, accepted=bool), post text, tag distribution. User collaboration network from proofassistants.stackexchange.com — directed weighted graph where edges represent knowledge-sharing relationships (A answered B's question), with edge weight reflecting answer quality. Enables prestige hierarchy, community detection, and expertise flow analysis.. Suitable for expertise network analysis, reputation systems, community detection, knowledge flow, PageRank-based authority ranking, Q&A platform dynamics..

9K records447 nodes993 edges2025

Facebook UCSC68 Network (FB100) Analyzed

A Facebook (UCSC68, September 2005) dataset of 8,991 users and 224,584 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (55 unique), dorm (10 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: -0.0274, major homophily: 0.0477.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

9K records9K nodes224.6K edges2012

Fedivertex: mastodon federation Analyzed

A Fediverse (mastodon, federation graph) dataset of 8,953 nodes, 16,135,522 edges (24 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains undirected edges between instances that have ever communicated, with instances.csv providing node metadata. The dataset is notable for its communication backbone graph where nodes are instances and edges represent any past interaction (undirected), showing how servers in the Fediverse are connected at the infrastructure level. Intended for research into decentralized network topology analysis, infrastructure resilience, cross-instance communication patterns, and federation policy impact studies.

9K records9K nodes16.1M edges2026

Voat — v/nsfw Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 4,413 submissions, 6,219 comments, 1,736 users, 3,425 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/nsfw, covering its full lifetime on the platform (2013–2020). Includes all 4,413 submissions and 6,219 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

8.9K records1.7K nodes3.4K 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

Gnutella Network — August 05, 2002 Analyzed

A Gnutella (August 05, 2002) dataset of 8,846 nodes and 31,839 edges, collected by Ripeanu et al. via Gnutella crawl (2002). Each record contains directed peer-to-peer connections in the Gnutella network. The dataset is notable for its snapshot from August 05, 2002, part of a temporal sequence of 9 snapshots. Intended for research into peer-to-peer network analysis, temporal graph evolution, and network resilience studies.

8.8K records8.8K nodes31.8K edges2002

Gnutella Network — August 06, 2002 Analyzed

A Gnutella (August 06, 2002) dataset of 8,717 nodes and 31,525 edges, collected by Ripeanu et al. via Gnutella crawl (2002). Each record contains directed peer-to-peer connections in the Gnutella network. The dataset is notable for its snapshot from August 06, 2002, part of a temporal sequence of 9 snapshots. Intended for research into peer-to-peer network analysis, temporal graph evolution, and network resilience studies.

8.7K records8.7K nodes31.5K edges2002

Facebook Brown11 Network (FB100) Analyzed

A Facebook (Brown11, September 2005) dataset of 8,600 users and 384,526 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (92 unique), dorm (58 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0283, major homophily: 0.0422.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

8.6K records8.6K nodes384.5K edges2012

Facebook Yale4 Network (FB100) Analyzed

A Facebook (Yale4, September 2005) dataset of 8,578 users and 405,450 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (48% male, 52% female), graduation year, major (77 unique), dorm (21 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0367, major homophily: 0.0521.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

8.6K records8.6K nodes405.4K edges2012

Voat — v/subverserequest Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,359 submissions, 5,017 comments, 2,104 users, 3,087 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/subverserequest, covering its full lifetime on the platform (2013–2020). Includes all 3,359 submissions and 5,017 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

8.5K records2.1K nodes3.1K edges2022

Fedivertex: mastodon active_user Analyzed

A Fediverse (mastodon, active_user graph) dataset of 8,135 nodes, 647,823 edges (24 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains directed, weighted edges based on user follow activity across instances, aggregated over time. The dataset is notable for its influence-weighted graph where nodes are instances and directed edges represent user following behavior (weighted by count), showing which servers generate content consumed by users on other servers. Intended for research into information flow analysis, influence measurement, content source tracking, and cross-instance user attention studies.

8.1K records8.1K nodes647.8K edges2026

TwitterGAN: Fake Account Dataset with GAN Profile Images (AAAI 2020) Analyzed

A Twitter dataset of 1,353 fake accounts, collected by Yang et al. (OSoMe/Indiana University). Each record contains user_id, user profile, recent tweets, GAN-generated profile image path, dataset label. Twitter fake account dataset featuring GAN-generated profile photos; multimodal bot detection resource.. Suitable for Social bot detection, GAN-generated content identification, deepfake profile research..

8.1K records2024

Gnutella Network — August 09, 2002 Analyzed

A Gnutella (August 09, 2002) dataset of 8,114 nodes and 26,013 edges, collected by Ripeanu et al. via Gnutella crawl (2002). Each record contains directed peer-to-peer connections in the Gnutella network. The dataset is notable for its snapshot from August 09, 2002, part of a temporal sequence of 9 snapshots. Intended for research into peer-to-peer network analysis, temporal graph evolution, and network resilience studies.

8.1K records8.1K nodes26K edges2002

Voat — v/sports Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,838 submissions, 5,639 comments, 2,310 users, 3,380 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/sports, covering its full lifetime on the platform (2013–2020). Includes all 2,838 submissions and 5,639 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

8.1K records2.3K nodes3.4K edges2022

Facebook Vanderbilt48 Network (FB100) Analyzed

A Facebook (Vanderbilt48, September 2005) dataset of 8,069 users and 427,832 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (52% male, 48% female), graduation year, major (76 unique), dorm (66 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1591, major homophily: 0.0515.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

8.1K records8.1K nodes427.8K edges2012

Voat — v/Canada Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,726 submissions, 5,533 comments, 993 users, 2,175 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/Canada, covering its full lifetime on the platform (2013–2020). Includes all 2,726 submissions and 5,533 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

8K records993 nodes2.2K edges2022

HumAID — kerala_floods_2018 Analyzed

A Twitter dataset of 7,984 tweets from kerala_floods_2018, collected by Alam et al. for kerala_floods_2018 crisis. Each record contains tweet text, humanitarian category label, train/dev/test split. Human-annotated crisis tweets from the kerala_floods_2018 event. Suitable for crisis informatics, humanitarian response, text classification.

8K records2020

Voat — v/CalmBeforeTheStorm Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 1,833 submissions, 5,374 comments, 1,060 users, 2,221 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/CalmBeforeTheStorm, covering its full lifetime on the platform (2013–2020). Includes all 1,833 submissions and 5,374 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

7.9K records1.1K nodes2.2K 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

Facebook Villanova62 Network (FB100) Analyzed

A Facebook (Villanova62, September 2005) dataset of 7,772 users and 314,989 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (83 unique), dorm (49 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1007, major homophily: 0.0525.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

7.8K records7.8K nodes315K edges2012

Facebook WashU32 Network (FB100) Analyzed

A Facebook (WashU32, September 2005) dataset of 7,755 users and 367,541 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (51% male, 49% female), graduation year, major (140 unique), dorm (52 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0939, major homophily: 0.0395.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

7.8K records7.8K nodes367.5K edges2012

Facebook Tulane29 Network (FB100) Analyzed

A Facebook (Tulane29, September 2005) dataset of 7,752 users and 283,918 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (53% male, 47% female), graduation year, major (69 unique), dorm (41 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1008, major homophily: 0.0464.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

7.8K records7.8K nodes283.9K edges2012

Facebook Dartmouth6 Network (FB100) Analyzed

A Facebook (Dartmouth6, September 2005) dataset of 7,694 users and 304,076 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (47% male, 53% female), graduation year, major (55 unique), dorm (70 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.1028, major homophily: 0.0428.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

7.7K records7.7K nodes304.1K edges2012

Voat — v/uspolitics Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,895 submissions, 3,964 comments, 1,159 users, 1,990 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/uspolitics, covering its full lifetime on the platform (2013–2020). Includes all 3,895 submissions and 3,964 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

7.7K records1.2K nodes2K edges2022

HumAID — hurricane_dorian_2019 Analyzed

A Twitter dataset of 7,613 tweets from hurricane_dorian_2019, collected by Alam et al. for hurricane_dorian_2019 crisis. Each record contains tweet text, humanitarian category label, train/dev/test split. Human-annotated crisis tweets from the hurricane_dorian_2019 event. Suitable for crisis informatics, humanitarian response, text classification.

7.6K records2020

Facebook Emory27 Network (FB100) Analyzed

A Facebook (Emory27, September 2005) dataset of 7,460 users and 330,014 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (56% male, 44% female), graduation year, major (60 unique), dorm (69 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.0925, major homophily: 0.0376.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

7.5K records7.5K nodes330K edges2012

Voat — v/Boards Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 2,466 submissions, 5,090 comments, 869 users, 1,890 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/Boards, covering its full lifetime on the platform (2013–2020). Includes all 2,466 submissions and 5,090 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

7.4K records869 nodes1.9K edges2022

HumAID — california_wildfires_2018 Analyzed

A Twitter dataset of 7,376 tweets from california_wildfires_2018, collected by Alam et al. for california_wildfires_2018 crisis. Each record contains tweet text, humanitarian category label, train/dev/test split. Human-annotated crisis tweets from the california_wildfires_2018 event. Suitable for crisis informatics, humanitarian response, text classification.

7.4K records2020

Usenet Sample — comp.* hierarchy Analyzed

A Usenet (sample) dataset of 7,361 posts from 801 newsgroups, collected by OwnedByDanes via Hugging Face. Each record contains post text, newsgroup, date, author, subject. Sample of Usenet posts from 1980–2013, with 5,000 posts per top‑level hierarchy. Covers comp.*, sci.*, rec.*, alt.*, etc.. Suitable for historical discourse analysis, early internet culture, topic evolution, authorship attribution.

7.4K records2026

Usenet Sample — humanities.* hierarchy Analyzed

A Usenet (sample) dataset of 7,361 posts from 7 newsgroups, collected by OwnedByDanes via Hugging Face. Each record contains post text, newsgroup, date, author, subject. Sample of Usenet posts from 1980–2013, with 5,000 posts per top‑level hierarchy. Covers comp.*, sci.*, rec.*, alt.*, etc.. Suitable for historical discourse analysis, early internet culture, topic evolution, authorship attribution.

7.4K records2026