A Reddit (Pushshift archive, 2012-03) dataset of 14,617,849 comments and 7,010,480 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 15,047 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-03 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 15,047 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Facebook Congress dataset of 548,341 posts, 13,866,507 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Facebook Congress — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
Posts from 329 thematically distinct 'general' thread collections on 4chan's /pol/ board, November 2013 to May 2019, released by Emilija Jokubauskaitė and Stijn Peeters (Zenodo 3603292). 13,756,579 posts in 58,687 threads, one CSV per general plus an index file. Each row holds the thread ID, post ID, timestamp, body text, subject, poster name, image file name and MD5, and the poster's country code and name. Suitable for studying recurring political discussion threads, propaganda, hate speech and online subcultures.
A Reddit (Pushshift archive, 2012-01) dataset of 13,280,664 comments and 6,321,745 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 13,607 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 13,607 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Parler (alternative social network) dataset of 13,254,060 Parler user profiles with bios and activity metrics, collected by Aliapoulios et al. via Parler API (2021). Each record contains user ID, username, bio text, follower/following counts, post/comment/like/media counts, join date, verified/banned/human flags. 13,254,060 Parler user profiles from the platform's peak period before its deplatforming — 605 verified accounts, 287,391 banned users. Suitable for deplatforming research, far-right social network analysis, user behavior on alternative platforms, bot detection, political communication research.
A Reddit (Pushshift archive, 2012-02) dataset of 13,041,429 comments and 6,164,917 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 14,220 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2012-02 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 14,220 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Stack Exchange (math.stackexchange.com) dataset of 318,785 users, 1,665,884 answer-collaboration edges, 1,641,406 questions, 2,146,413 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 math.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..
A Reddit (Pushshift archive, 2011-12) dataset of 11,693,903 comments and 5,522,479 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 11,730 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2011-12 — full comment text, reply graph, and engagement metrics across 11,730 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Reddit (Pushshift archive, 2011-11) dataset of 11,030,601 comments and 5,197,924 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 10,961 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-11 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 10,961 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2011-10) dataset of 10,874,106 comments and 5,044,112 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 10,358 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-10 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 10,358 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Facebook Wiki dataset of 149,448 posts, 10,667,500 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Facebook Wiki — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
A Reddit (Pushshift archive, 2011-08) dataset of 9,873,132 comments and 4,595,585 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 9,225 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-08 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 9,225 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2011-09) dataset of 9,808,117 comments and 4,569,421 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 9,784 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-09 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 9,784 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2011-07) dataset of 8,410,476 comments and 3,877,551 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 7,907 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-07 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 7,907 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit dataset of 8,035,392 comments across 6 financial subreddits, 2008–2020, collected by Zenodo contributor via Pushshift Reddit API. Each record contains body text, subreddit, author, created_date, year, readability metrics (Fog index, avg words/sentence, avg syllables/word). 8M+ Reddit comments from r/personalfinance, r/Frugal, r/Economics, r/business, r/investing, and r/financialindependence spanning 2008–2020, pre-annotated with Gunning Fog readability scores.. Suitable for Financial discourse analysis, readability research, community language evolution, NLP on financial social media..
A Amazon.com movie product pages dataset of 7,911,696 movie reviews spanning 1997 to 2012, collected by McAuley & Leskovec via Amazon product review pages (2013). Each record contains product ID, reviewer user ID, reviewer profile name, helpfulness votes (numerator/denominator), star rating (1-5), Unix timestamp, review summary, and full review text. One of the largest Amazon review datasets publicly available — 8 million movie reviews with full text, helpfulness votes, and star ratings spanning 15 years of Amazon movie reviews.. Suitable for sentiment analysis, review helpfulness prediction, recommendation systems, user expertise modeling, longitudinal review behavior analysis.
A NELA-PS (pink slime local news) dataset of 7,910,965 articles from 1,093 pink slime news sources, collected by Horne and Gruppi, published via Harvard Dataverse (2024). Each record contains full article text, headline, source outlet name, publication date, author, location, network, and URL. The dataset is notable for its largest available dataset of pink slime news — low-quality partisan content systematically framed as authentic local news, spanning 1,093 outlets over 2.5 years with stratified cross-outlet topic modeling. Intended for research into misinformation detection, local news ecosystem analysis, partisan content identification, and pink slime outlet characterisation.
A Reddit (Pushshift archive, 2011-06) dataset of 4,709,369 comments and 3,659,449 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 7,102 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2011-06 — full comment text, reply graph, and engagement metrics across 7,102 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Reddit (Pushshift archive, 2011-05) dataset of 7,011,857 comments and 3,248,561 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 6,491 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-05 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 6,491 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A MADOC (Reddit, KotakuInAction) dataset of 83,581 users and 1,758,653 reply edges from 6,793,795 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.
A MADOC (Reddit, CringeAnarchy) dataset of 202,705 users and 1,864,741 reply edges from 6,445,396 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.
A Reddit dataset of 6,252,711 posts and comments, 6,279 AITA submissions, 6,239,711 nodes, 6,133,386 reply edges, collected by Zenodo contributor via Reddit API, September–October 2023. Each record contains post/comment id, reply graph (parent_id), title, VADER sentiment, readability (Fog + FK-GL), 10 emotion lexicon scores (anticipation, disgust, fear, joy, sadness, surprise, trust, anger, positive, negative), valence/arousal/dominance. 2M+ r/AmITheAsshole posts and comments with pre-computed emotion lexicon scores, readability metrics, and VADER sentiment across multiple time windows (all-time, monthly, weekly, yearly); includes full reply graph structure.. Suitable for Emotion dynamics in online moral judgment, reply network analysis, readability and engagement research, temporal thread growth modeling..
A Scored.co (c/GreatAwakening) dataset of 499,023 submissions and 5,662,346 comments from 15,594 unique authors in c/GreatAwakening (2020-2023), collected by iDRAMA Lab via Scored.co API (2024). Each record contains post/comment text, author, score up/down, NSFW/deleted/twitter-crosspost flags, date, UUID. c/GreatAwakening on Scored.co — QAnon conspiracy community, migrated from Reddit r/greatawakening. 6,161,369 total posts from 15,594 authors over 4 years. Suitable for deplatforming research, community behavior analysis, alternative platform discourse, content moderation effects, longitudinal community evolution.
A Reddit (Pushshift archive, 2011-04) dataset of 6,000,632 comments and 2,745,074 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 5,839 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-04 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 5,839 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2011-03) dataset of 3,603,143 comments and 2,792,355 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 5,214 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2011-03 — full comment text, reply graph, and engagement metrics across 5,214 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Friendster (social network) dataset of 5,689,498 users and 14,067,887 friendship edges, collected by Booher via Friendster crawl (Nov 2010). Each record contains user-user friendship edges. classic social network dataset with 14M edges, representing one of the early major social networking platforms. Suitable for social network analysis, community detection, and friendship prediction.
A Reddit (Pushshift archive, 2011-01) dataset of 5,233,905 comments and 2,417,135 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 4,899 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 4,899 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Twitter dataset of 5,072,124 tweets from 1,835 congressional accounts, collected by Alex Litel via Twitter API (2017-2023). Each record contains tweet text, screen name, user ID, timestamp, retweet count, favorite count, source, retweet status. A daily collection of tweets from U.S. Congress members, committees, caucuses and party accounts, one JSON file per day; 11 days have no file in the source repository (for example 2022-01-15, 2022-03-17 and 2022-10-24 to 2022-10-31). metadata/historical-users-filtered.json, from the collection's companion repository, maps each account to its member or office, chamber, party and type. Suitable for political communication, sentiment analysis, election studies, congressional behavior, social media analysis.
A Reddit (Pushshift archive, 2011-02) dataset of 5,053,654 comments and 2,351,138 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 4,938 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2011-02 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 4,938 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A 4chan (/pol/) dataset of 4,998,945 posts from /pol/, collected by kjj0 via 4chan API. Each record contains post text content. A 5 million post sample from 4chan's /pol/ board, capturing political discourse, extremism, and online communities. Suitable for misinformation, propaganda, hate speech, political communication, online communities, extremist discourse.
A Reddit (Pushshift archive, 2010-12) dataset of 2,794,883 comments and 2,143,243 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 4,420 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-12 — full comment text, reply graph, and engagement metrics across 4,420 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Reddit (Pushshift archive, 2010-11) dataset of 4,487,798 comments and 2,060,836 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 4,131 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-11 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 4,131 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A MADOC (Koo, koo) dataset of 124,477 users and 1,121,958 reply edges from 4,263,640 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.
A Reddit (Pushshift archive, 2010-10) dataset of 3,958,154 comments and 1,829,837 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,904 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-10 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,904 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A YouTube dataset of 743,569 videos, 14,338,803 related-video edges, collected by Cheng et al. via YouTube API (2007-2008). Each record contains video metadata (ID, uploader, age, category, length, views, rate, ratings, comments), related video IDs. Early YouTube snapshot 0222 capturing the video graph and metadata from the platform's rapid growth period in 2007-2008. Suitable for social network analysis, video recommendation, information diffusion, community detection.
A Reddit (Pushshift archive, 2010-09) dataset of 3,688,035 comments and 1,702,986 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,789 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-09 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,789 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Stack Exchange (superuser.com) dataset of 299,863 users, 603,996 answer-collaboration edges, 505,136 questions, 732,567 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 superuser.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..
A Reddit (r/chapotraphouse ban intervention, 2020) dataset of 865,937 pre-ban posts from banned community, 1,272,364 pre-ban control posts, 1,279,975 post-ban control posts, collected by Cerulli et al. via Reddit API (ICWSM 2026). Each record contains comment ID, selftext (post body), author (pseudonymized), subreddit, score, created_utc, split label (in-before/out-before/out-after). TBBT r/chapotraphouse: pre- and post-ban Reddit dataset from The Big Ban Theory — standardized 3-month window around the 2020 moderation intervention with matched control communities. Suitable for content moderation effects, community migration, deplatforming research, pre/post intervention analysis, Reddit ban studies.
A Instagram (fashion influencers) dataset of 3,411,944 posts from fashion influencers, collected by Seungbae Kim and Jinyoung Han (2020). Each record contains post caption text, like count, comment count, video/ad flags, tagged user count, location presence, image dimensions, timestamp, and influencer follower count. The dataset is notable for its subset of 9.7M-post Instagram influencer dataset covering the fashion category, with rich per-post engagement signals and influencer-level metadata. Intended for research into influencer marketing analysis, engagement prediction, social media content analysis, and sponsorship detection. This package holds the post metadata (one JSON .info file per post) and influencer lists; the post images, which the authors distribute separately on request, are not included.
Moltbook, a social network whose members are autonomous AI agents (Hugging Face jscmp4/Moltbook, 2025): 100,590 agent profiles, 3,352,520 posts and 16,663,266 comments. The graph links agents to the posts and comments they wrote and comments to their posts (20,199,253 nodes, 36,678,988 edges). Suitable for research on AI agent behaviour and social dynamics.
A Reddit (Pushshift archive, 2010-08) dataset of 2,026,913 comments and 1,572,956 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 3,375 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-08 — full comment text, reply graph, and engagement metrics across 3,375 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Scored.co (c/IP2Always) dataset of 575,266 submissions and 2,579,475 comments from 8,427 unique authors in c/IP2Always (2020-2023), collected by iDRAMA Lab via Scored.co API (2024). Each record contains post/comment text, author, score up/down, NSFW/deleted/twitter-crosspost flags, date, UUID. c/IP2Always on Scored.co — Internet personality commentary community. 3,154,741 total posts from 8,427 authors over 4 years. Suitable for deplatforming research, community behavior analysis, alternative platform discourse, content moderation effects, longitudinal community evolution.
A Reddit (Pushshift archive, 2010-07) dataset of 3,135,989 comments and 1,470,882 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 3,396 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-07 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 3,396 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A MADOC (Reddit, MensRights) dataset of 113,904 users and 822,329 reply edges from 3,110,425 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.
A Reddit dataset of 1,453,512 posts, 1,453,512 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Reddit — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.
A Stack Exchange (askubuntu.com) dataset of 255,799 users, 434,011 answer-collaboration edges, 414,451 questions, 523,728 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 askubuntu.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..
A Voat (Reddit alternative, 2013–2020) dataset of 552,155 submissions, 2,506,862 comments, 57,280 users, 934,284 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 75 Voat subverses covering voat far-right politics communities, combining 552,155 submissions and 2,506,862 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.
A Voat (Reddit alternative, 2013–2020) dataset of 476,656 submissions, 2,465,643 comments, 74,909 users, 1,095,198 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 75 Voat subverses covering voat general discussion communities, combining 476,656 submissions and 2,465,643 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.
A MADOC (Bluesky, bluesky) dataset of 164,265 users and 894,917 reply edges from 2,814,352 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.
A Reddit (Pushshift archive, 2010-06) dataset of 1,657,384 comments and 1,282,455 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 3,058 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-06 — full comment text, reply graph, and engagement metrics across 3,058 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
Reddit
Facebook
4chan
Parler
Stack Exchange
Amazon
Scored
Friendster
Twitter (X)
Koo
YouTube
Instagram
Moltbook
Voat
Bluesky