[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-293036-105":59,"doc-detail-293036-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","reddit-a-gold-mine-for-personality-prediction","Reddit: A Gold Mine for Personality Prediction","","Automated personality prediction from social media is increasingly studied in natural language processing and the social sciences. Limited dataset size and low topic diversity, driven by high labeling costs and privacy concerns, restrict progress. The work introduces a large-scale Reddit-derived dataset labeled with Myers-Briggs Type Indicator (MBTI) types for over 9k users, with extensive features and a preliminary feature analysis. Benchmark models trained on it achieve strong macro F1 (67%–82%) and 82% exact or one-off type prediction accuracy, comparable to standardized tests.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/reddit-a-gold-mine-for-personality-prediction/293036/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/reddit-a-gold-mine-for-personality-prediction/293036.png","ImageObject",300,407,{"name":92,"@type":93},"Fans","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":52},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why are labeled datasets a major challenge for personality prediction from social media?","Question",{"text":112,"@type":113},"Privacy issues and prohibitively high labeling costs limit the number of labeled datasets. Existing datasets also suffer from non-anonymity, restricted expressivity, low topic diversity, and strong bias toward personality-related discussions.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What is the MBTI9k dataset and how is it obtained?",{"text":117,"@type":113},"MBTI9k is a large-scale personality prediction dataset labeled with MBTI types. It is derived from Reddit, where many users provide self-reported MBTI types and the content is publicly available and diverse.",{"name":119,"@type":110,"acceptedAnswer":120},"How effective are benchmark personality prediction models on MBTI9k?",{"text":121,"@type":113},"Models trained and evaluated on the dataset achieve macro F1-scores between 67% and 82% for individual MBTI dimensions. They reach 82% accuracy for exact or one-off accurate type prediction, exceeding baselines and matching standardized-test reliability.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},293036,1789658894,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":52,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144,"preview_page_count":4},5909892330395,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","Reddit: A Gold Mine for Personality Prediction  \nMatej Gjurkovi and Jan Šnajder University of Zagreb, Faculty of Electrical Engineering and Computing Text Analysis and Knowledge Engineering Lab Unska 3, 10000 Zagreb, Croatia {matej.gjurkovic, [jan.snajder}@fer.hr](jan.snajder}@fer.hr)  \nAbstract  \nAutomated personality prediction from social media is gaining increasing attention in natural language processing and social sciences communities. However, due to high labeling costs and privacy issues, the few publicly available datasets are of limited size and low topic diversity. We address this problem by introducing a large-scale dataset derived from Reddit, a source so far overlooked for personality prediction. The dataset is labeled with Myers-Briggs Type Indicators (MBTI) and comes with a rich set of features for more than 9k users. We carry out a preliminary feature analysis, revealing marked differences between the MBTI dimensions and poles. Furthermore, we use the dataset to train and evaluate benchmark personality prediction models, achieving macro F1-scores between 67% and 82% on the individual dimensions and 82% accuracy for exact or one-off accurate type prediction. These results are encouraging and comparable with the reliability of standardized tests.  \n1 Introduction  \nPersonality refers to individual and stable differences in characteristic patterns of thinking, feeling, and behaving (Corr and Matthews, 2009) . There has been an increasing interest in automated personality prediction from social media from both the natural language processing and social science communities (Nguyen et al., 2016) . In contrast to traditional personality tests – whose use so far has mostly been limited to human resource management, counseling, and clinical psychology – automated personality prediction from social media has a far wider applicability, such as in social media marketing (Matz et al., 2017) and dating web-sites and applications (Finkel et al., 2012) .  \nMost work on personality prediction rests on one of the two widely used personality models: Big Five and MBTI. The Big Five (Goldberg, 1990) is a  \nwell-established model which classifies personality traits along five dimensions: extraversion, agreeableness, conscientiousness, neuroticism, and openness. In contrast, the Myers-Briggs Type Indicator model (MBTI) (Myers et al., 1990) recognizes 16 personality types spanned by four dimensions: Introversion/Extraversion (how one gains energy), Sensing/iNtuition (how one processes information), Thinking/Feeling (how one makes decisions), and Judging/Perceiving (how one presents herself or himself to the outside world) . Despite some controversy regarding test validity and reliability (Barbuto Jr, 1997), the MBTI model has found numerous applications, especially in the industry 1 and for selfdiscovery. Although the Big Five and MBTI models are built on different theoretical perspectives, studies have shown their dimensions to be correlated (McCrae and Costa, 1989 ; Furnham, 1996) .  \nThe perennial problem of personality prediction from social media is the lack of labeled datasets. This can be traced back to privacy issues (e.g., on Facebook) and prohibitively high labeling costs. The few existing datasets suffer from other shortcomings related to non-anonymity (which makes the users more reluctant to express their true personality), limited expressivity (e.g., on Twitter), low topic diversity, or a heavy bias toward personalityrelated topics (e.g., on personality forums) . Specifically for MBTI, the only available datasets are the ones derived from Twitter (Verhoeven et al., 2016), essays (Luyckx and Daelemans, 2008), and personality forums.2 Clearly, the lack of adequate benchmark datasets hinders the development of  \npersonality prediction models for social media.  \nIn this paper we aim to address this problem by introducing MBTI9k, a new personality prediction dataset labeled with MBTI types. The dataset is  \n1[http://www.cpp.com","cbCaiii41fXftWtK","https://ap.wps.com/l/cbCaiii41fXftWtK","pdf",227329,11,"English","# Introduction\n## Personality prediction from social media and dataset limitations\n## Big Five vs. MBTI models\n## Dataset contribution: MBTI9k and study design","[{\"question\":\"Why are labeled datasets a major challenge for personality prediction from social media?\",\"answer\":\"Privacy issues and prohibitively high labeling costs limit the number of labeled datasets. Existing datasets also suffer from non-anonymity, restricted expressivity, low topic diversity, and strong bias toward personality-related discussions.\"},{\"question\":\"What is the MBTI9k dataset and how is it obtained?\",\"answer\":\"MBTI9k is a large-scale personality prediction dataset labeled with MBTI types. It is derived from Reddit, where many users provide self-reported MBTI types and the content is publicly available and diverse.\"},{\"question\":\"How effective are benchmark personality prediction models on MBTI9k?\",\"answer\":\"Models trained and evaluated on the dataset achieve macro F1-scores between 67% and 82% for individual MBTI dimensions. They reach 82% accuracy for exact or one-off accurate type prediction, exceeding baselines and matching standardized-test reliability.\"}]","Reddit: A Gold Mine for Personality Prediction | PDF",28]