Gender

gender, women, misogyny, manosphere

33 datasets tagged as the topic “Gender”.

33 datasets.

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rtGender — All Platforms (Cumulative) Analyzed

A Multiple Platforms dataset of 2,469,836 posts, 26,496,468 responses across 5 platforms, collected by Peixian and Zhang. Each record contains platform, posts, responses, op_gender, responder_gender, sentiment, relevance. Cumulative rtGender dataset combining all platforms for cross-platform gender analysis. Suitable for cross-platform gender analysis, sentiment comparison, response prediction.

29M records21.8M nodes23.9M edges2018

rtGender — Facebook Congress Analyzed

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.

14.4M records9.5M nodes10.3M edges2018

rtGender — Facebook Wiki Analyzed

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.

10.8M records7.8M nodes8.3M edges2018

MADOC: Reddit / MensRights Analyzed

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.

3.1M records113.9K nodes822.3K edges2025

rtGender — Reddit Analyzed

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.

2.9M records3.5M nodes4M edges2018

Manosphere Dataset — Incels.co Analyzed

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.

2.4M records123.5K nodes1.7M edges2021

TBBT: r/incels Ban Intervention (2017) Analyzed

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.

1.7M records27.3K nodes139.3K edges2026

Manosphere Dataset — Roosh V Forum Analyzed

A Manosphere forum (Roosh V Forum) dataset of 1,492,561 posts from 13,599 unique authors on Roosh V Forum, collected by Ribeiro et al. via web crawl (2021). Each record contains post text (text_post), author (author), timestamp, post metadata. 1,492,561 posts from Roosh V Forum — part of the Evolution of the Manosphere dataset covering incel, MGTOW, PUA, and related anti-feminist communities across 9 forums. Suitable for manosphere discourse analysis, incel radicalization research, hate speech detection, community evolution, misogynistic content analysis, toxicity measurement.

1.5M records13.6K nodes13.6K edges2021

#MeToo Digital Media Collection (Q3 2020) Limited

A twitter dataset of 957,956 tweet IDs from the #MeToo movement (Q3 2020), collected by Maiorana, Morales Henry, and Weintraub via Social Feed Manager. Each record contains tweet IDs only — full content requires hydration. Quarterly snapshot of #MeToo discourse enabling longitudinal analysis when combined with other quarterly collections. Suitable for social movement analysis, gender studies, harassment detection, discourse trends.

958K records2023

Manosphere Dataset — Red Pill Talk Analyzed

A Manosphere forum (Red Pill Talk) dataset of 884,001 posts from 7,900 unique authors on Red Pill Talk, collected by Ribeiro et al. via web crawl (2021). Each record contains post text (text_post), author (author), timestamp, post metadata. 884,001 posts from Red Pill Talk — part of the Evolution of the Manosphere dataset covering incel, MGTOW, PUA, and related anti-feminist communities across 9 forums. Suitable for manosphere discourse analysis, incel radicalization research, hate speech detection, community evolution, misogynistic content analysis, toxicity measurement.

884K records7.9K nodes7.9K edges2021

rtGender — Fitocracy Analyzed

A Fitocracy dataset of 318,535 posts, 318,535 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for Fitocracy — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.

637.1K records760.6K nodes892.1K edges2018

Manosphere Dataset — A Voice For Men Analyzed

A Manosphere forum (A Voice For Men) dataset of 211,070 posts from 1,802 unique authors on A Voice For Men, collected by Ribeiro et al. via web crawl (2021). Each record contains post text (text_post), author (author), timestamp, post metadata. 211,070 posts from A Voice For Men — part of the Evolution of the Manosphere dataset covering incel, MGTOW, PUA, and related anti-feminist communities across 9 forums. Suitable for manosphere discourse analysis, incel radicalization research, hate speech detection, community evolution, misogynistic content analysis, toxicity measurement.

211.1K records1.8K nodes1.8K edges2021

TBBT: r/gendercritical Ban Intervention (2020) Analyzed

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.

207.5K records5.6K nodes16.8K edges2026

rtGender — TED Analyzed

A TED dataset of 0 posts, 190,414 responses, collected by Peixian and Zhang. Each record contains posts, responses, op_gender, responder_gender, sentiment, relevance. rtGender dataset for TED — studies gendered responses in online discourse. Suitable for gender studies, sentiment analysis, response prediction.

190.4K records409.2K nodes346.5K edges2018

iDRAMA-Scored: c/MGTOW Analyzed

A Scored.co (c/MGTOW) dataset of 11,832 submissions and 164,021 comments from 755 unique authors in c/MGTOW (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/MGTOW on Scored.co — Men Going Their Own Way community. 175,853 total posts from 755 authors over 4 years. Suitable for deplatforming research, community behavior analysis, alternative platform discourse, content moderation effects, longitudinal community evolution.

175.9K records756 nodes755 edges2024

Manosphere Dataset — Love-Shy Analyzed

A Manosphere forum (Love-Shy) dataset of 29,232 posts from 826 unique authors on Love-Shy, collected by Ribeiro et al. via web crawl (2021). Each record contains post text (text_post), author (author), timestamp, post metadata. 29,232 posts from Love-Shy — part of the Evolution of the Manosphere dataset covering incel, MGTOW, PUA, and related anti-feminist communities across 9 forums. Suitable for manosphere discourse analysis, incel radicalization research, hate speech detection, community evolution, misogynistic content analysis, toxicity measurement.

29.2K records827 nodes826 edges2021

Voat — v/TraditionalWives Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,710 submissions, 17,154 comments, 1,843 users, 5,908 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/traditionalwives, covering its full lifetime on the platform (2013–2020). Includes all 3,710 submissions and 17,154 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

19.8K records1.8K nodes5.9K edges2022

Voat — v/theredpill Analyzed

A Voat (Reddit alternative, 2013–2020) dataset of 3,802 submissions, 15,116 comments, 3,751 users, 6,559 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/theredpill, covering its full lifetime on the platform (2013–2020). Includes all 3,802 submissions and 15,116 comments with full text and engagement metadata.. Suitable for social network analysis, community dynamics, content moderation, platform migration studies, online community research.

19.2K records3.8K nodes6.6K edges2022

Yelp CBA: Computational Branding Analytics Analyzed

Yelp coffee-shop reviews for computational branding analytics (Wang, Lin & Kominek, EMNLP 2013): 17,894 reviews in train (10,495), dev (3,617) and test (3,782) splits. Each row holds the brand (Starbucks, Dunkin', other), satisfaction (negative, positive, neutral), the reviewer's gender (missing as '?' in some rows), US region, and the review text. There are no review, business or date fields. Research use only, per the README.

17.9K records2013

MADOC: Voat / MensRights Analyzed

A MADOC (Voat, MensRights) dataset of 992 users and 1,628 reply edges from 3,735 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.

3.7K records992 nodes1.6K edges2025

Facebook Wellesley22 Network (FB100) Analyzed

A Facebook (Wellesley22, September 2005) dataset of 2,970 users and 94,899 friendship edges, collected by Traud, Mucha & Porter via Facebook network snapshots. Each record contains node attributes: gender (99% male, 1% female), graduation year, major (63 unique), dorm (24 unique), student/faculty status; undirected friendship edges. One of 100 university Facebook networks from Sept 2005, each with rich demographic node attributes enabling homophily and community structure analysis. Gender homophily: 0.2461, major homophily: 0.0401.. Suitable for community detection with node attributes, homophily analysis, demographic network structure, university social dynamics.

3K records3K nodes94.9K edges2012

Blog Authorship Corpus — Student Bloggers Analyzed

A Blogger.com (2004) dataset of 2,200 bloggers, 2,557 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.

2.2K records2006

Blog Authorship Corpus — Male Bloggers (13–17) Analyzed

A Blogger.com (2004) dataset of 1,917 bloggers, 2,293 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.

1.9K records2006

Blog Authorship Corpus — Female Bloggers (13–17) Analyzed

A Blogger.com (2004) dataset of 1,804 bloggers, 2,070 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.

1.8K records2006

Blog Authorship Corpus — Male Bloggers (23–27) Analyzed

A Blogger.com (2004) dataset of 1,588 bloggers, 1,861 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.

1.6K records2006

M3 CHEM 4chan Multimodal Hate Speech Dataset Analyzed

A 4chan dataset of 1,400 multimodal posts (1,062 hate, 338 non-hate), collected by Mira AI Lab (2024). Each record contains image filename, image OCR text, post text, hate/non-hate binary label, hate category (gender/race/religion/politics/violence/health/etc), and human-annotated reason for classification. Multimodal 4chan subset hate speech dataset combining image OCR text and post text with fine-grained category labels across 8 hate dimensions — 76% of posts are hate speech with human-annotated reasoning. Suitable for multimodal hate speech detection, cross-platform analysis, hate category classification, image-text hate speech, content moderation research. The package includes the 1,400 meme images (img/) that the records name.

1.4K records2026

Blog Authorship Corpus — Female Bloggers (23–27) Analyzed

A Blogger.com (2004) dataset of 1,376 bloggers, 1,657 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.

1.4K records2006

Blog Authorship Corpus — Technology Bloggers Analyzed

A Blogger.com (2004) dataset of 570 bloggers, 906 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.

570 records2006

Blog Authorship Corpus — Female Bloggers (33–47) Analyzed

A Blogger.com (2004) dataset of 557 bloggers, 686 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.

557 records2006

Blog Authorship Corpus — Male Bloggers (33–47) Analyzed

A Blogger.com (2004) dataset of 541 bloggers, 678 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.

541 records2006

Blog Authorship Corpus — Arts & Entertainment Bloggers Analyzed

A Blogger.com (2004) dataset of 282 bloggers, 320 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.

282 records2006

Blog Authorship Corpus — Religion Bloggers Analyzed

A Blogger.com (2004) dataset of 48 bloggers, 48 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.

48 records2006

Blog Authorship Corpus — Banking Bloggers Analyzed

A Blogger.com (2004) dataset of 46 bloggers, 46 posts, collected by Schler et al. for AAAI 2006. Each record contains blog post text, gender, age, industry, astrological sign. Historical blog corpus from 2004 with rich metadata per blogger (gender, age, industry, astrological sign). Balanced across age groups and genders.. Suitable for authorship attribution, stylistic analysis, demographic language variation, historical NLP.

46 records2006