[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-140658-105":59,"doc-detail-140658-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","automated-detection-of-tropes-in-short-texts-read-online-free","Automated Detection of Tropes In Short Texts - read online free","","Automated Detection of Tropes In Short Texts focuses on identifying recurring narrative devices (“tropes”) in social media short posts, especially where they can oversimplify societal issues and distort public discourse. The paper defines the trope-detection task, differentiates it from related work, and builds a ground-truth dataset of vaccine and immigration posts with manual trope annotations. Based on this dataset, it trains and fine-tunes a supervised multi-label classification approach, validating performance experimentally and showing that tropes generalize across domains.",{"@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/automated-detection-of-tropes-in-short-texts-read-online-free/140658/",{"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/automated-detection-of-tropes-in-short-texts-read-online-free/140658.png","ImageObject",300,407,{"name":92,"@type":93},"Rowan","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-11","2026-08-24",true,{"@type":102,"interactionType":103,"userInteractionCount":81},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the main goal of the paper on trope detection in short texts?","Question",{"text":112,"@type":113},"The paper aims to automatically detect narrative tropes in social media posts, even when the available text is limited.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How is the dataset for trope detection constructed?",{"text":117,"@type":113},"The authors define nine tropes via qualitative coding of online social posts about vaccines and immigration, then manually label a corpus of short texts to build ground truth.",{"name":119,"@type":110,"acceptedAnswer":120},"What method is proposed to detect tropes?",{"text":121,"@type":113},"A supervised machine learning approach for multi-label classification is trained and fine-tuned using the labeled dataset, enabling accurate trope identification.","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},140658,1787594470,{"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":81,"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":36},1099514067415,"https://ap-avatar.wpscdn.com/avatar/100002539d78ffe74a7?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779092875211072502","Automated Detection of Tropes In Short Texts  \nAlessandra Flaccavento  \nUniversità Roma Tre [alessandra.flaccavento@uniroma3.it](alessandra.flaccavento@uniroma3.it)  \nYouri Peskine  \nEURECOM [youri.peskine@eurecom.fr](youri.peskine@eurecom.fr)  \nPaolo Papotti Riccardo Torlone  \nEURECOM Università Roma Tre  \n[papotti@eurecom.fr](papotti@eurecom.fr) [riccardo.torlone@uniroma3.it](riccardo.torlone@uniroma3.it)  \nRaphael Troncy  \nEURECOM [raphael.troncy@eurecom.fr](raphael.troncy@eurecom.fr)  \nAbstract  \nTropes—recurring narrative elements like the\"smoking gun\" or the \"veil of secrecy\"—are often used in movies to convey familiar patterns. However, they also play a significant role in online communication about societal issues, where they can oversimplify complex mattersand deteriorate public discourse. Recognizing these tropes can offer insights into the emotional manipulation and potential bias present in online discussions. This paper addresses the challenge of automatically detecting tropes in social media posts. We define the task, distinguish it from previous work, and create aground-truth dataset of social media posts related to vaccines and immigration, manually labeled with tropes. Using this dataset, we develop a supervised machine learning technique for multi-label classification, fine-tune a model, and demonstrate its effectiveness experimentally. Our results show that tropes are common across domains and that fine-tuned models can detect them with high accuracy.  \n1 Introduction  \nA trope is an easily recognizable device used in narratives to convey a specific theme or idea (Gala et al., 2020) . This mechanism is widely used in the movie industry to generate effects and emotions in the audience as it can be traced back to the familiar feeling a person may sense when knowing what is coming up next in a given scenario (Suet al., 2021) . Examples of tropes in this context are “the girl next door”,“the love triangle”, and“the damsel in distress”. In fact, tropes are used today in almost any form of communication, given their ability to convey attitudes and beliefs. In particular, just as storytellers in media use tropes to make stories more understandable and relatable, online content producers use them to communicate news and opinions, exploiting tropes’ familiarity and preconceived notions.  \nIt has been observed, however, that this mechanism used in movies and literature to impact the audience’s perception is often used online to manipulate and deceive audiences (DiResta, 2021) . Notably, the pervasive use of tropes in online anti-vaccine discourse holds significant potential for dangerously shaping public opinion, as it can lead individuals making uninformed vaccination decisions (Hughes et al., 2021) . These tropes persist over time, recurring across various vaccines and contributing to ongoing anti-vaccine dialogues. For instance, in the 1800s, some people argued that natural methods were better than getting inoculated with cowpox-derived smallpox vaccines (Kata, 2012) . Fast forward to today, we see similar claims that traditional cures are more effective than mRNA vaccines. Indeed, in spite the differences in details, most underlying tropes are consistently used across time and topics as well. For example, the narrative that “authorities cannot be trusted to make a decision that will benefit people” can be found both in the context of immigration (e.g., border control) and vaccine (e.g., vaccination policies) to invoke skepticism towards those authorities.  \nTherefore, the development of techniques for detecting and understanding these deceptive narrative elements is crucial to monitoring public discourse and promoting evidence-based communication. To this aim, we note that tropes are used not only in extended narratives but also in shorter forms of communication. For instance, a cinematic tropecan be detected from a single scene, such as \"love at first sight\" in a fleeting glance exchanged by two characters. Simil","cbCaidCqxELTjXFV","https://ap.wps.com/l/cbCaidCqxELTjXFV","pdf",2005614,16,"English","# Abstract\n# Introduction\n## Motivation and problem setting\n## Task definition and dataset creation\n## Supervised multi-label detection approach\n## Experimental results and findings","[{\"question\":\"What is the main goal of the paper on trope detection in short texts?\",\"answer\":\"The paper aims to automatically detect narrative tropes in social media posts, even when the available text is limited.\"},{\"question\":\"How is the dataset for trope detection constructed?\",\"answer\":\"The authors define nine tropes via qualitative coding of online social posts about vaccines and immigration, then manually label a corpus of short texts to build ground truth.\"},{\"question\":\"What method is proposed to detect tropes?\",\"answer\":\"A supervised machine learning approach for multi-label classification is trained and fine-tuned using the labeled dataset, enabling accurate trope identification.\"}]","Automated Detection of Tropes In Short Texts - read online free | PDF"]