[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-293484-105":59,"doc-detail-293484-en":131},{"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":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","twisty-a-multilingual-twitter-stylometry-corpus-for-gender-and-personality-profiling","TWISTY - a Multilingual Twitter Stylometry Corpus for Gender and Personality Proﬁling","","Personality profiling aims to detect personality traits of authors from their writing style. Building on the popularity of the Myers-Briggs Type Indicator (MBTI) in informal online communities, this work introduces TWISTY, a multilingual Twitter corpus annotated with each author’s MBTI type and gender. The dataset covers six Western European languages and details corpus creation, annotation, and resulting distribution statistics. The paper also reports initial baselines for MBTI personality prediction and gender prediction across all languages.",{"@graph":69,"@context":123},[70,84,106],{"@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/twisty-a-multilingual-twitter-stylometry-corpus-for-gender-and-personality-profiling/293484/",{"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/twisty-a-multilingual-twitter-stylometry-corpus-for-gender-and-personality-profiling/293484.png","ImageObject",300,407,{"name":92,"@type":93},"\tJames","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",18,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What does personality profiling mean in computational stylometry?","Question",{"text":113,"@type":114},"It involves inferring personality traits from an author’s writing style.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How is MBTI used in the TWISTY corpus?",{"text":118,"@type":114},"Tweets are annotated with the author’s self-assessed MBTI personality type.",{"name":120,"@type":111,"acceptedAnswer":121},"Which languages and author/gender attributes does TWISTY cover?",{"text":122,"@type":114},"TWISTY covers six Western European languages (Dutch, German, French, Italian, Portuguese, Spanish) and includes MBTI type and gender annotations for each author.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},293484,1789664539,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":29,"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":130,"read_time":144,"preview_page_count":4},2336474466412,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","TWISTY: a Multilingual Twitter Stylometry Corpus for Gender and  \nPersonality Proﬁling  \nBen Verhoeven,y Walter Daelemansy and Barbara Plank􀀃  \nyCLiPS Research Center, University of Antwerp, Belgium  \n􀀃 University of Groningen, The Netherlands  \nfben.verhoeven,[walter.daelemans](walter.daelemansg@uantwerpen.be)[g](walter.daelemansg@uantwerpen.be)[@uantwerpen.be](walter.daelemansg@uantwerpen.be) ,[b.plank@rug.nl](b.plank@rug.nl)  \nAbstract  \nPersonality proﬁling is the task of detecting personality traits of authors based on writing style. Several personality typologies exist, however, the Myers-Briggs Type Indicator (MBTI) is particularly popular in the non-scientiﬁc community, and many people use it to analyse their own personality and talk about the results online. Therefore, large amounts of self-assessed data on MBTI are readily available on social-media platforms such as Twitter. We present a novel corpus of tweets annotated with the MBTI personality type and gender of their author for six Western European languages (Dutch, German, French, Italian, Portuguese and Spanish) . We outline the corpus creation and annotation, show statistics of the obtained data distributions and present ﬁrst baselines on Myers-Briggs personality proﬁling and gender prediction for all six languages.  \nKeywords: computational stylometry, author proﬁling, multilingual corpus  \n1. Introduction  \nPersonality prediction is one of the most difﬁcult author proﬁling tasks in computational stylometry. It involves detecting personality traits on the basis of writing style. Several typologies of personality traits exist, but the two most well-known are Big Five (Goldberg, 1990) and MyersBriggs Type Indicator (Briggs Myers and Myers, 2010) . Modeling author attributes such as personality plays an increasingly important role in numerous applications, from business intelligence to personalized translation (Mirkin et al., 2015) . A large body of work exists on predicting individual author attributes from linguistic input (Rosenthal and McKeown, 2011; Nguyen et al., 2011; Eisenstein et al., 2011; Volkova et al., 2013; Alowibdi et al., 2013; Ciotet al., 2013; Volkova et al., 2015) . Apart from demographic features, such as age or gender, there is also a growing interest in predicting psychological properties such as personality, attested by a growing literature and recent shared taskson this topic (Celli et al., 2013; Celli et al., 2014; Rangel et al., 2015) .  \nPredicting personality types is not only of interest for psychology, but also for commercial purposes to even healthcare. Recent work by Preot¸iuc-Pietro et al. (2015) investigated the link between personality types, social media behavior, and psychological disorders, such as depression and post-traumatic stress disorder. They found that certain personality traits are predictive of mental illness.  \nHowever, computational personality recognition is hampered by the availability of limited amounts of labeled data (Nowson and Gill, 2014) . Many early existing datasets contain written essays of a certain topic, which are written in highly canonical language. Such controlled settings inhibit the expression of individual traits much more than spontaneous language. As such data is hard to obtain, only limited amounts were available.  \nWith the availability of social media text, recent efforts shifted toward using such data (Schwartz et al., 2013a; Schwartz et al., 2013b; Park et al., 2015; Kosinski et al., 2015) . For example, Kosinski et al. (2015) collected a  \nlarge amount of social media data with Big Five (Kosinski et al., 2015) annotations through a tailored Facebook app. Another approach, suggested by Plank and Hovy (2015), is to use the large amounts of textual data voluntarily produced on social media (i.e., Twitter) together with self-assessed Myers-Briggs Type Indicators (Briggs Myers and Myers, 2010), abbreviated MBTI, to collect large amounts of labeled data. Myers-Briggs classiﬁes users along fou","cbCaiqfqs8KIb8aU","https://ap.wps.com/l/cbCaiqfqs8KIb8aU","pdf",162771,"English","# Abstract\n# 1. Introduction\n# 2. Corpus creation","[{\"question\":\"What does personality profiling mean in computational stylometry?\",\"answer\":\"It involves inferring personality traits from an author’s writing style.\"},{\"question\":\"How is MBTI used in the TWISTY corpus?\",\"answer\":\"Tweets are annotated with the author’s self-assessed MBTI personality type.\"},{\"question\":\"Which languages and author/gender attributes does TWISTY cover?\",\"answer\":\"TWISTY covers six Western European languages (Dutch, German, French, Italian, Portuguese, Spanish) and includes MBTI type and gender annotations for each author.\"}]","TWISTY - a Multilingual Twitter Stylometry Corpus for Gender and Personality Proﬁling | PDF",15]