[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-293551-105":59,"doc-detail-293551-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","how-pre-travel-mood-and-personality-predict-destination-preferences-insights-from-social-media-data","How pre-travel mood and personality predict destination preferences: insights from social media data","","Internal psychological factors shape destination preferences, yet prior work often overlooks pre-travel basic psychological states, especially long-term affective conditions. Grounded in the “Push” theory of travel motivation, the study analyzes social media to extract MBTI personality traits and pre-travel mood states. T-tests and regression show modern entertainment preferences relate to Extraversion, Sensing, and negative moods (Sad, Angry), while cultural heritage preferences align with Judging, emotional stability, and positive mood. The psychological model outperforms demographics.",{"@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/how-pre-travel-mood-and-personality-predict-destination-preferences-insights-from-social-media-data/293551/",{"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/how-pre-travel-mood-and-personality-predict-destination-preferences-insights-from-social-media-data/293551.png","ImageObject",300,407,{"name":92,"@type":93},"Anda","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-09","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":56},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What psychological factors are emphasized for predicting destination preferences?","Question",{"text":112,"@type":113},"The study focuses on pre-travel mood states and personality traits, extracted from social media data, arguing these internal factors shape destination choices.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How do pre-travel moods relate to modern entertainment and cultural heritage preferences?",{"text":117,"@type":113},"Modern entertainment preferences are predicted by Extraversion, Sensing, and negative moods (Sad and Angry), while cultural heritage preferences are linked to Judging, emotional stability, and positive mood.",{"name":119,"@type":110,"acceptedAnswer":120},"What modeling result supports the study’s main conclusion?",{"text":121,"@type":113},"The psychological model significantly outperformed the demographic model, with Extraversion emerging as the strongest predictor.","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},293551,1789665477,{"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":56,"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},962075006959,"https://ap-avatar.wpscdn.com/avatar/e0002397efbe92a78e?_k=1776741047341049297","Jiangxi Normal University  \nJiangxi Normal University  \nFebruary 20th, 2026  \n [https://doi.org/10.21203/rs.3.rs-8854510/v1](https://doi.org/10.21203/rs.3.rs-8854510/v1)  \n 􀁱 􀅏 This work is licensed under a Creative Commons Attribution 4.0 International License.  \nRead Full License  \n No competing interests reported.  \nHow pre-travel mood and personality predict destination preferences: insights from social media data  \nLonghui Ao 1 and Yu Xia 1, *  \n1the School of Geography and Evironment, and the Key Laboratory of PoyangLake Wetland and Watershed Research Ministry of Education, Jiangxi Normal University, Nanchang, 330022, China  \n* [corresponding.xyu@jxnu.edu.cn](corresponding.xyu@jxnu.edu.cn)  \nABSTRACT  \nInternal psychological factors are crucial in shaping destination preferences. However, most prior studies have neglected the impact of pre-travel basic psychological states, especially long-term affective states, on destination choice. Based on the “Push” theory of travel motivation, this study introduces a novel pre-travel perspective to explore the relationship between pre-travel psychological factors and destination preferences. Using natural language processing, we extracted MBTI personality and pre-travel mood states from social media data. T-tests and regression analyses revealed that modern entertainment destination preference was predicted by Extraversion, Sensing, and negative moods (Sad and Angry), while cultural heritage preference was linked to Judging, emotional stability, and positive mood. The psychological model significantly outperformed the demographic model, with Extraversion as the strongest predictor. This study extends the temporal perspective of tourism emotion research to the pre-travel phase and overcomes limitations of traditional questionnaire-based measurement of psychological variables. Our findings highlight the importance of pre-travel psychology and offer implications for tourist segmentation and targeted marketing for destination management organizations.  \nIntroduction  \nIn the era of the experience economy 1 , personalized and emotionally resonant tourism experiences have attracted growing attention from tourists2–5, which requires tourism products to align with tourists’ psychological needs. For destination management organizations (DMOs), gaining an in-depth understanding of the key factors associated with tourists’ destination choices not only facilitates targeted market segmentation and the implementation of emotional marketing6, 7 and optimizes the allocation of tourism resources, but also enhances the matching quality between tourism products and tourists’ needs, thereby improving satisfaction and loyalty and promoting the sustainable development of the tourism industry. However, traditional demographic variables such as age, income, and gender have limited explanatory power for increasingly complex tourist behaviors in the experience economy8, 9 and are often unable to capture tourists’ psychological heterogeneity.  \nThe “push–pull” theory of travel motivation 10, 11 posits that tourists’ travel activities arise from the combined effects of internal push forces and external pull forces, where push forces originate from intrapersonal motives and pull forces from destination attributes. Internal psychological factors are therefore thought to play an important role in shaping destination preferences at the individual level9, 12 , among which mood and personality are two key psychological components 13, 14.  \nEmotional states are closely associated with tourist behaviors 15, 16. However, most existing emotion-related studies on tourism preferences have focused on tourists’ emotional experiences toward destinations 17–21, which correspond to the pull effects of destinations. According to push–pull theory, push factors take temporal precedence over pull factors in a logical sequence 10. From this perspective, experiential emotions toward destinations can be viewed as lagging indicators wh","cbCaiq1btshg8JeD","https://ap.wps.com/l/cbCaiq1btshg8JeD","pdf",3019991,26,"English","# Abstract\n# Introduction","[{\"question\":\"What psychological factors are emphasized for predicting destination preferences?\",\"answer\":\"The study focuses on pre-travel mood states and personality traits, extracted from social media data, arguing these internal factors shape destination choices.\"},{\"question\":\"How do pre-travel moods relate to modern entertainment and cultural heritage preferences?\",\"answer\":\"Modern entertainment preferences are predicted by Extraversion, Sensing, and negative moods (Sad and Angry), while cultural heritage preferences are linked to Judging, emotional stability, and positive mood.\"},{\"question\":\"What modeling result supports the study’s main conclusion?\",\"answer\":\"The psychological model significantly outperformed the demographic model, with Extraversion emerging as the strongest predictor.\"}]","How pre-travel mood and personality predict destination preferences: insights from social media data | PDF",66]