917 datasets for link prediction. Most are inferred from the data: a label field, the title, or the graph itself.
917 datasets — page 3 of 19.
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.
The wikilink network of the German Wikipedia, as distributed by KONECT (wikipedia_link_de), built from the Wikimedia dumps: 3,225,565 articles and 81,626,917 directed links between them, where a link from A to B means article A links to article B (article namespace only; 31,722 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 3,603,726 articles and 96,865,851 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
A YouTube (user social network growth over time) dataset of 3,223,585 nodes and 9,375,374 edges, collected by A. Mislove et al. via YouTube API. Each record contains directed: False, weighted: True, temporal: True. Temporal undirected YouTube friendship network showing how the social graph grew over time — 9.4M edges with Unix timestamps.. Suitable for temporal network analysis, social network growth modeling, YouTube social dynamics.
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.
The Orkut friendship network crawled by Mislove et al. (2007), as distributed by Network Repository (soc-orkut-dir): 3,072,441 users and 117,185,083 undirected friendships, each pair listed once. Despite the "-dir" in Network Repository's name, the file is marked symmetric and Orkut friendships were mutual. Orkut was Google's social network, active 2004–2014 and especially popular in Brazil and India. Useful for large-scale social network analysis, community detection and graph mining.
The wikilink network of the French Wikipedia, as distributed by KONECT (wikipedia_link_fr), built from the Wikimedia dumps: 3,023,165 articles and 102,382,410 directed links between them, where a link from A to B means article A links to article B (article namespace only; 17,100 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 3,333,397 articles and 123,709,902 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
A Wikipedia (English edition talk pages) dataset of 2,987,535 nodes and 9,379,561 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, signed: False, temporal: True. Directed temporal network of Wikipedia English talk page interactions between editors.. Suitable for wiki collaboration analysis, temporal network analysis, community detection.
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.
The wikilink network of the Russian Wikipedia, as distributed by KONECT (wikipedia_link_ru), built from the Wikimedia dumps: 2,853,118 articles and 82,056,101 directed links between them, where a link from A to B means article A links to article B (article namespace only; 20,493 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 3,370,462 articles and 93,373,056 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
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.
A Reddit (Pushshift archive, 2010-05) dataset of 2,528,094 comments and 1,166,669 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 2,924 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-05 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 2,924 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Flixster (social movie network) dataset of 2,523,386 users and 7,918,801 friendship edges, collected by Javier Parra via Flixster crawl (December 2010). Each record contains user-user friendship edges and user IDs. The dataset is notable for its friendship network from Flixster, a social movie site where users shared ratings, discovered films, and found others with similar tastes. Intended for research into social network analysis, community detection, movie recommendation systems, and taste-based social network studies.
A Reddit (Pushshift archive, 2010-03) dataset of 2,488,336 comments and 1,155,646 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 2,615 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-03 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 2,615 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Reddit (Pushshift archive, 2010-04) dataset of 1,482,903 comments and 1,143,923 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 2,895 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-04 — full comment text, reply graph, and engagement metrics across 2,895 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Incels.co (manosphere forum) dataset of 2,436,297 posts from 5,933 unique authors across 117,592 threads, collected by Farrell et al. via web crawl (2019-2020). Each record contains post text, author username, author title/flair, join date, post count, post timestamp, thread URL, reply interactions, embedded links. Incels.co dataset contains 2,436,297 forum posts from 2017-11 to 2019-06, part of the iDRAMA manosphere collection covering incel and anti-feminist communities. Suitable for misogyny detection, hate speech research, radicalization analysis, manosphere community studies, extremist forum analysis, NLP classification, social network analysis.
A Wikipedia (English edition talk pages) dataset of 2,394,385 nodes and 5,021,410 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: False, temporal: False. Large directed temporal network of Wikipedia talk page interactions — 5M edges between 2.4M editors.. Suitable for wiki collaboration analysis, conflict detection, community detection.
A Stanford Web dataset of 2,312,497 hyperlinks, collected by Network Repository. Each record contains webpage-to-webpage hyperlinks. Stanford web graph from 2013. Suitable for web structure analysis, PageRank.
The bipartite picture-tagging network of the image bookmarking site vi.sualize.us, as distributed by KONECT (pics_ui): 2,298,816 tag assignments by 17,122 users to 495,402 pictures, forming 997,840 distinct user–picture pairs (512,524 nodes in all). An edge records that a user tagged a picture; the file has no ratings or timestamps. The network was analysed by Neubauer and Obermayer in their study of the vi.sualize.us folksonomy. Useful for folksonomy research, tag-based recommendation and the structure of large bipartite user–item networks.
A Scored.co (c/ConsumeProduct) dataset of 184,391 submissions and 2,078,669 comments from 9,792 unique authors in c/ConsumeProduct (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/ConsumeProduct on Scored.co — Anti-consumerism / ironic consumption community. 2,263,060 total posts from 9,792 authors over 4 years. Suitable for deplatforming research, community behavior analysis, alternative platform discourse, content moderation effects, longitudinal community evolution.
Posts from v/QRV, the QAnon research subverse on Voat, 2018-2020, from the Voat archive of Mekacher & Papasavva (ICWSM 2022): 187,158 submissions and 2,229,684 comments with their text, votes and dates. The archive did not recover the author of almost any v/QRV post (it writes a placeholder instead), so this entry has no user or reply graph. Suitable for QAnon and conspiracy discourse, topic modelling and moderation research.
A Stack Exchange (serverfault.com) dataset of 169,020 users, 416,072 answer-collaboration edges, 325,169 questions, 514,457 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 serverfault.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, 2010-01) dataset of 2,208,240 comments and 1,021,401 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 2,111 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2010-01 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 2,111 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Stack Exchange (tex.stackexchange.com) dataset of 77,851 users, 228,101 answer-collaboration edges, 259,202 questions, 330,587 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 tex.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 Zhishi.me (Chinese linked open data — Baidu Baike, Hudong) dataset of 2,141,300 nodes and 17,643,697 edges, collected by X. Niu et al.. Each record contains directed: True, weighted: True. Large Chinese knowledge graph network from Zhishi.me — directed links between Chinese encyclopedia entries.. Suitable for knowledge graph analysis, Chinese NLP, entity linking.
A YouTube dataset of 2,139,109 users with 38,047,355 uploads and 40,088,341 friend relationships, collected by Cheng et al. via YouTube API (2007-2008). Each record contains user ID, number of uploaded videos, number of friends/subscriptions. YouTube user network from 2008 capturing user activity and friendship patterns during the platform's early growth period. Suitable for social network analysis, user behavior analysis, influencer identification, community detection.
A Slashdot dataset of 10,019 discussion threads, August 2005 to August 2006, from the Online Conversation Threads repository of Aragón et al. (ICWSM 2017): 2,084,864 nodes (articles and comments) and 2,075,611 comment-to-parent reply edges, with comment text, moderation scores, timestamps and thread depth. Suitable for online discourse analysis, conversation dynamics and hierarchical reply-tree structure.
A Reddit (Pushshift archive, 2010-02) dataset of 1,236,636 comments and 957,464 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 2,259 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2010-02 — full comment text, reply graph, and engagement metrics across 2,259 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Stack Exchange (electronics.stackexchange.com) dataset of 87,916 users, 268,871 answer-collaboration edges, 199,373 questions, 329,505 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 electronics.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 twitter dataset of 2,041,399 tweet IDs from all members of the 115th U.S. Congress, collected by Littman via Social Feed Manager (GWU Libraries). Each record contains tweet IDs only — full content requires hydration. Complete tweet archive from all 115th Congress members enabling legislator communication and retweet network analysis. Suitable for political discourse, legislator communication patterns, congressional social media behavior.
A Wikipedia (English edition category system) dataset of 2,036,440 nodes and 3,795,796 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: False, weighted: False, temporal: False. Bipartite network of Wikipedia articles and the categories they belong to — useful for studying hierarchical knowledge organization.. Suitable for knowledge organization analysis, bipartite network analysis, Wikipedia category structure.
A Stack Exchange (physics.stackexchange.com) dataset of 83,259 users, 278,777 answer-collaboration edges, 234,152 questions, 341,531 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 physics.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, 2009-12) dataset of 1,152,863 comments and 888,012 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 1,936 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2009-12 — full comment text, reply graph, and engagement metrics across 1,936 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A RoadNet dataset of 1,921,660 roads, collected by Network Repository. Each record contains road intersections. Texas road network. Suitable for infrastructure analysis, network science.
A Bluesky Social dataset of approximately 1.8 million public posts, collected by Alpin Dale from the AT Protocol firehose API in 2024. Each record contains post text, author handle, timestamp, image presence flag, and reply-to URI for constructing directed reply-thread networks. multilingual corpus from a decentralized AT Protocol platform with English dominant alongside Spanish, Portuguese, Japanese, and other languages. Suitable for decentralized social media analysis, reply network structure, and multilingual content modeling.
A Wikipedia (English edition hyperlink growth) dataset of 1,870,709 nodes and 39,953,145 edges, collected by KONECT via Wikipedia XML dumps. Each record contains directed: True, weighted: True, temporal: True. Temporal directed network showing how Wikipedia's hyperlink structure grew over time — edges carry Unix timestamps of when links were added.. Suitable for temporal network analysis, knowledge graph evolution, Wikipedia growth modeling.
The wikilink network of the Italian Wikipedia, as distributed by KONECT (wikipedia_link_it), built from the Wikimedia dumps: 1,865,965 articles and 91,555,008 directed links between them, where a link from A to B means article A links to article B (article namespace only; 27,438 pages link to themselves). Counts are those of ECHO's copy of the KONECT archive; KONECT's current release lists 2,148,791 articles and 104,719,994 links, including articles without links. One of eight language editions on ECHO (English, German, French, Italian, Japanese, Polish, Portuguese, Russian). Useful for knowledge-graph and hyperlink-structure analysis, link prediction, community detection and comparison across language editions.
A Stack Exchange (unix.stackexchange.com) dataset of 124,093 users, 280,381 answer-collaboration edges, 238,249 questions, 351,325 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 unix.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 YouTube dataset of 309,314 videos, 4,444,600 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 080327 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, 2009-10) dataset of 1,703,313 comments and 790,076 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains comment tree graph (nodes=comments, edges=reply relationships), 1,902 subreddits, node attributes: author, subreddit, score. Monthly slice of the Pushshift Reddit corpus for 2009-10 — comment tree graph showing reply structure, full comment text, and per-comment engagement metrics across 1,902 subreddits.. Suitable for Reddit comment tree analysis, reply network structure, community detection, sentiment analysis, engagement research, longitudinal Reddit growth studies.
A Internet router-level topology (CAIDA Skitter project) dataset of 1,696,415 nodes and 11,095,298 edges, collected by CAIDA Skitter project via traceroute. Each record contains directed: False, weighted: False. Large internet router topology from the CAIDA Skitter project — 1.7M nodes and 11M edges.. Suitable for internet topology analysis, network robustness, scale-free network research.
A Reddit (r/incels ban intervention, 2017) dataset of 273,009 pre-ban posts from banned community, 841,379 pre-ban control posts, 563,354 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/incels: pre- and post-ban Reddit dataset from The Big Ban Theory — standardized 3-month window around the 2017 moderation intervention with matched control communities. Suitable for content moderation effects, community migration, deplatforming research, pre/post intervention analysis, Reddit ban studies.
A Reddit (Pushshift archive, 2009-11) dataset of 1,010,489 comments and 780,046 reply edges, collected by Jason Baumgartner via Pushshift.io Reddit API archive. Each record contains directed reply graph, 1,937 subreddits, content metrics: score, controversiality, gilded. Monthly slice of the Pushshift Reddit corpus for 2009-11 — full comment text, reply graph, and engagement metrics across 1,937 subreddits.. Suitable for longitudinal Reddit analysis, reply network structure, community detection, sentiment analysis, engagement research.
A Reddit (r/greatawakening ban intervention, 2018) dataset of 329,183 pre-ban posts from banned community, 690,552 pre-ban control posts, 620,307 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/greatawakening: pre- and post-ban Reddit dataset from The Big Ban Theory — standardized 3-month window around the 2018 moderation intervention with matched control communities. Suitable for content moderation effects, community migration, deplatforming research, pre/post intervention analysis, Reddit ban studies.
Moltbook
Reddit
Wikipedia
YouTube
Scored
Orkut
Stack Exchange
Voat
Bluesky
Flixster
Incels.co
Slashdot
Twitter (X)
The internet