A Voat (Reddit alternative, 2013–2020) dataset of 37,402 submissions, 157,735 comments, 26,104 users, 100,310 collaboration edges, collected by Mekacher & Papasavva (ICWSM 2022) via full platform crawl. Each record contains user nodes (registration date, moderation status), directed weighted edges (commenter→submitter, weight=upvotes+1), submission titles and bodies, comment text, upvotes, downvotes, depth. Complete dataset for the Voat subverse v/videos, covering its full lifetime on the platform (2013–2020). Includes all 37,402 submissions and 157,735 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.
A Twitch (gaming social network) dataset of 168,116 users and 6,797,558 mutual follower edges, collected by Rozemberczki & Sarkar via Twitch public API (2018). Each record contains undirected mutual follower edges, node features (views, mature, life_time, created_at, updated_at, dead_account, language, affiliate). The dataset is notable for its large-scale strongly connected component with no missing attributes, designed for node classification and count data regression. Intended for research into social network analysis, node classification, community detection, and transfer learning in gaming communities.
A YouTube dataset of 10,296 videos, 198,320 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 0302 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 MADOC (Voat, videos) dataset of 10,756 users and 31,132 reply edges from 85,197 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 YouTube Shorts dataset of 68,699 short-form video records (metadata only), collected by JamilAL01 via the YouTube Data API (GitHub, 2025). Each record contains video title, description, tags, channel info, category, and engagement metrics (views, likes, comments, duration). metadata-only corpus with no video files — purely textual and categorical fields enabling content and engagement analysis without requiring video storage or processing. Suitable for short-form video trend analysis, content categorization, engagement prediction, and creator behavior modeling.
A Stack Exchange (avp.stackexchange.com) dataset of 6,689 users, 9,259 answer-collaboration edges, 9,182 questions, 11,332 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 avp.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 Twitch.tv (live streaming platform) dataset of 34,118 users and 214,556 undirected friendship edges across 6 language communities (DE, ENGB, ES, FR, PTBR, RU) merged into one cumulative graph, collected by Rozemberczki et al. via Twitch API, distributed via MUSAE/SNAP. Each record contains undirected friendship edges between Twitch streamers within each language community; node IDs namespaced by language to avoid collision across subgraphs. The dataset is notable for its multilingual streaming platform social network covering 6 distinct language communities, enabling cross-community structural comparison and multilingual graph embedding research. Intended for research into community detection, graph embedding, node classification, cross-platform social network analysis, and multilingual network comparison.
23,992 YouTube comments with sentiment and tone labels and short pros/cons notes, published on Hugging Face by AnandforU, in train (19,992), validation (2,000) and test (2,000) splits. Each record holds the comment text, sentiment, tone, pros and cons. Suitable for sentiment analysis and comment moderation.
A multi-dimensional YouTube network crawled in December 2008 at Arizona State University (Tang & Liu), from the ASU Social Computing Data Repository: 15,088 active users and five weighted, undirected interaction layers with 13,628,895 edges in all. The layers are contacts (76,765), shared friends (1,940,806), shared subscriptions (5,574,249), shared subscribers (2,239,440) and shared favourite videos (3,797,635); each pair is listed once. Suitable for multi-layer network analysis and community detection.
A YouTube (with cross-platform spread on Twitter and Facebook) dataset of 7,659 removed YouTube videos with multilingual titles and descriptions, 249,346 associated tweets, and 18,897,277 Facebook shares, collected by Knuutila (2021) via YouTube Data API and CrowdTangle, tracking videos shared on public social media that were subsequently removed by YouTube for COVID-19 misinformation. Each record contains video titles and descriptions in multiple languages, view counts and subscriber counts where recoverable, Facebook reactions/comments/shares, Twitter and Facebook post ID lists for social spread tracking, removal and publication timestamps, and Wayback Machine archive URLs. The dataset is notable for its one of the few public datasets documenting the complete lifecycle of platform-removed health misinformation, linking video metadata to cross-platform social spread and enabling research into both content and dissemination patterns of COVID-19 misinformation. Intended for research into health misinformation detection, content moderation research, cross-platform information spread analysis, COVID-19 infodemic studies, multilingual misinformation narrative analysis, and platform policy impact assessment.
A Rumble (alt-right video platform) dataset of 6,735 Rumble videos from 245 channels (2020-2023), collected by iDRAMA Lab via Rumble API (2024). Each record contains video ID, title, channel name, view/upvote/dislike/comment counts, follower count, video duration, description, named entities, tags, URL. 6,735 Rumble videos with full engagement metrics and NER annotations — one of few open datasets covering Rumble, a major alternative video platform popular with right-wing creators post-YouTube deplatforming. Suitable for alternative video platform research, deplatforming effects, political video discourse, engagement analysis, NER on video metadata.
A Rumble (alt-right video platform) — speech transcriptions dataset of 6,735 lite speech transcriptions from Rumble podcasts (2020-2023), collected by iDRAMA Lab via Whisper ASR (2024). Each record contains video ID, lite transcription segments, named entities (person/org/GPE). 6,735 Rumble podcast transcriptions enabling text-based analysis of spoken political content — rare speech-to-text dataset from an alternative video platform. Suitable for spoken political discourse analysis, NER on speech, alternative platform audio content research, misinformation in video content.
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 Twitch dataset of 1,000 top streamers with viewership and engagement metrics, collected by Aayush Mishra via Twitch API (2020). Each record contains channel name, watch time, streaming time, max/average viewers, followers, followers gained, views gained, partnership status, age-restriction status, and language. A comprehensive snapshot of the top 1,000 Twitch streamers, capturing key engagement and growth metrics for the platform's most influential content creators. Suitable for influencer analysis, engagement prediction, platform dynamics, streamer growth modeling, gaming community studies.
Voat
Twitch
YouTube
Stack Exchange
Facebook
Twitter (X)
Rumble
Fediverse