A Twitter dataset of 11,316,811 users and 85,331,843 directed follower/followee edges, collected by Zafarani and Liu at Syracuse University Data Lab. Each record contains directed edges from follower to followee; bare integer node IDs (anonymized users). one of the largest publicly available Twitter follower networks, with 85M directed edges enabling large-scale social network analysis at the full platform scale. Suitable for large-scale network analysis, influence propagation, community detection, centrality computation, and information diffusion modeling.
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 (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 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 (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.
A Reddit (r/the_donald ban intervention, 2020) dataset of 221,682 pre-ban posts from banned community, 680,784 pre-ban control posts, 488,109 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/the_donald: 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 Reddit (r/chodi ban intervention, 2022) dataset of 43,547 pre-ban posts from banned community, 631,445 pre-ban control posts, 544,604 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/chodi: pre- and post-ban Reddit dataset from The Big Ban Theory — standardized 3-month window around the 2022 moderation intervention with matched control communities. Suitable for content moderation effects, community migration, deplatforming research, pre/post intervention analysis, Reddit ban studies.
A Reddit (r/milliondollarextreme ban intervention, 2018) dataset of 129,276 pre-ban posts from banned community, 536,408 pre-ban control posts, 401,687 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/milliondollarextreme: 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.
A Reddit (r/physical_removal ban intervention, 2017) dataset of 12,921 pre-ban posts from banned community, 370,492 pre-ban control posts, 222,245 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/physical_removal: 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 (r/consumeproduct ban intervention, 2020) dataset of 26,786 pre-ban posts from banned community, 207,087 pre-ban control posts, 138,251 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/consumeproduct: 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 Reddit (r/darkhumorandmemes ban intervention, 2020) dataset of 15,594 pre-ban posts from banned community, 185,567 pre-ban control posts, 139,739 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/darkhumorandmemes: 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 Reddit (r/sanctionedsuicide ban intervention, 2018) dataset of 27,002 pre-ban posts from banned community, 142,493 pre-ban control posts, 52,442 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/sanctionedsuicide: 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.
A Reddit (r/gendercritical ban intervention, 2020) dataset of 40,976 pre-ban posts from banned community, 94,239 pre-ban control posts, 72,306 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/gendercritical: 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 Reddit (r/darknetmarkets ban intervention, 2018) dataset of 32,712 pre-ban posts from banned community, 119,036 pre-ban control posts, 16,348 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/darknetmarkets: 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.
A X (Twitter) with Community Notes annotations dataset of 152,266 multimodal posts (21,845 AI-generated, 104,915 miscaptioned), collected by Chrysidis, Papadopoulos & Papadopoulos via X Community Notes (2026). Each record contains tweet ID, reply/favorite/view/retweet counts, Community Notes text and timestamp, and misinformation type label (miscaptioned / ai_generated / other). Large-scale dataset of 152,266 multimodal X posts with Community Notes — tracking the rise of AI-generated misinformation with 21,845 confirmed AI-generated posts. Includes engagement metrics showing that AI-generated content achieves disproportionate virality despite slower initial reporting.. Suitable for AI-generated content detection, misinformation classification, Community Notes effectiveness, multimodal misinformation analysis, virality and engagement modeling, temporal degradation of detectors.
A dataset from The Big Ban Theory (Cerulli et al., ICWSM 2026) on the June 2015 ban of r/fatpeoplehate: 111,751 posts in the subreddit in the three months before the ban, and 39,427 posts in v/fatpeoplehate on Voat, where the community moved, in the three months after it. Each record holds the post ID, text, pseudonymized author, community, score and time. Suitable for deplatforming research, community migration and pre/post intervention analysis.
A Livemocha (language learning community) dataset of 104,103 users and 2,193,083 friendship edges, collected by Xia Hu (Ben) via Livemocha crawl, December 2010. Each record contains user-user friendship edges. The dataset is notable for its friendship network of the world's largest online language learning community, with 6M+ members across 200+ countries. Intended for research into social network analysis, community detection, and cross-cultural interaction studies.
A Reddit (r/debatealtright ban intervention, 2020) dataset of 12,093 pre-ban posts from banned community, 53,216 pre-ban control posts, 33,548 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/debatealtright: 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 Reddit (r/shitneoconssay ban intervention, 2020) dataset of 4,592 pre-ban posts from banned community, 39,813 pre-ban control posts, 25,351 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/shitneoconssay: 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 Usenet (sample) dataset of 64,999 posts from 4754 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.
A Reddit (r/gunsforsale ban intervention, 2018) dataset of 5,837 pre-ban posts from banned community, 33,758 pre-ban control posts, 5,222 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/gunsforsale: 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.
A Meneame dataset of 14,995 articles, 20,000 comments, 45,392 users, collected by Meneame Media Bias Team. Each record contains article title, text, bias labels, sentiment, emotion scores, karma features, user-outlet graph. Spanish social news aggregator dataset with media bias labels and rich interaction features. Suitable for media bias detection, sentiment analysis, social news dynamics, graph analysis.
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.
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.
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.
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.
A Usenet (sample) dataset of 7,361 posts from 182 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.
A Usenet (sample) dataset of 7,361 posts from 53 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.
A Usenet (sample) dataset of 7,361 posts from 710 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.
A Usenet (sample) dataset of 7,361 posts from 215 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.
A Usenet (sample) dataset of 7,361 posts from 273 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.
A Usenet (sample) dataset of 7,361 posts from 43 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.
A Usenet (sample) dataset of 6,111 posts from 2470 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.
A Fediverse (peertube, follow graph) dataset of 2,356 nodes, 88,587 edges (62 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains directed edges representing following relationships between Peertube instances. The dataset is notable for its directed graph showing follower relationships between instances, specifically for the Peertube platform's follow network. Intended for research into video content discovery, creator-audience relationships, and media sharing network analysis.
A YouTube (Travel Videos Metadata Index) dataset of 2,267 travel-related YouTube video records, collected by Samuel & Audrey Media Network via YouTube API (2026). Each record contains video titles, descriptions, region tags, topic tags, view counts, publication years, and validity flags. The dataset is notable for its metadata-only index designed for travel video archive search, regional coverage analysis, and linking video records with transcript datasets and destination research. Intended for research into tourism communication research, creator-media analysis, regional coverage analysis, and retrieval workflows across travel videos, transcripts, and article corpora.
A Fediverse (misskey, federation graph) dataset of 1,765 nodes, 360,281 edges (60 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.
A Fediverse (misskey, active_user graph) dataset of 1,274 nodes, 19,491 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.
A Fediverse (pleroma, federation graph) dataset of 1,170 nodes, 185,908 edges (61 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.
A Fediverse (pleroma, active_user graph) dataset of 821 nodes, 1,801 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.
A Fediverse (lemmy, federation graph) dataset of 779 nodes, 166,096 edges (62 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.
A Fediverse (lemmy, federation_with_blocks graph) dataset of 779 nodes, 289,473 edges (62 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains directed edges with signs (+ for federation, - for blocks) between instances. The dataset is notable for its directed graph with both positive (federation) and negative (block) edges, showing communication relationships alongside active blocking between instances. Intended for research into defederation studies, conflict resolution, trust and distrust analysis in decentralized networks.
A Fediverse (friendica, federation graph) dataset of 594 nodes, 70,812 edges (59 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.
A Fediverse (lemmy, cross_instance graph) dataset of 557 nodes, 4,701 edges (24 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains undirected edges between instances that communicate across different software platforms. The dataset is notable for its undirected graph of communication between instances, specifically capturing how different servers interact across the broader Fediverse. Intended for research into cross-platform communication analysis, inter-server community detection, and federated network structure studies.
A Fediverse (lemmy, intra_instance graph) dataset of 557 nodes, 2,398 edges (24 snapshots merged), collected by Damie & Cyffers via weekly crawls over 6 months. Each record contains directed edges representing internal interactions within a single instance. The dataset is notable for its directed sparse graph capturing internal, within-instance communication patterns that are not visible in cross-instance graphs. Intended for research into internal community structure, local user interaction patterns, and instance-level activity analysis.
A Fediverse (bookwyrm, federation graph) dataset of 151 nodes, 4,966 edges (62 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.
A TikTok (pro-eating disorder content) dataset of 85 videos and photo posts annotated using the EDE clinical framework, collected by Shaveet, Viranda, and Choudhury at Cornell University. Each record contains content type (video/photos), human-written content summary, EDE subscale and diagnostic item annotations, visual and audio element labels, audio tempo/valence/arousal scores, harmonic ratio, and mode. EDTT is the first clinically-grounded dataset of pro-eating-disorder TikTok content, with 47 videos and 38 photo posts annotated using the Eating Disorder Examination framework by Cornell researchers. Suitable for eating disorder content detection, harmful content moderation, multimodal annotation research, TikTok platform analysis, clinical NLP, audio-visual content analysis.
A Multiple (Wikipedia, GDELT, Google Trends) dataset of 51 weeks of cross-platform attention data across 6 regions, collected by Luke Steuber via Wikipedia API, GDELT Project, and Google Trends (2020-2025). Each record contains weekly attention scores by region, component metrics (Google Trends, GDELT, Wikipedia), and regional composite scores. A unified, weekly time-series of public attention to the United States from three independent sources, broken down by global region, enabling multi-perspective analysis of attention dynamics. Suitable for information cascade, event detection, public health monitoring, political communication, media analysis, attention tracking, regional sentiment analysis.
Twitter (X)
Friendster
Reddit
Livemocha
Usenet
Menéame
Fediverse
Mastodon
YouTube
TikTok
Google
Wikipedia