[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-128245-en":3,"doc-seo-128245-105":30,"detail-sidebar-cat-0-en-105":92},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},128245,2336475104362,"Eden","https://ap-avatar.wpscdn.com/avatar/22000c4c46a41b752dd?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786595829695023868",8,"Research & Report","Applying Machine Learning to Enhance Esport Broadcast Narratives","Esports has emerged as one of the fastest-growing entertainment phenomena, blending traditional sports excitement with the immersive digital environment of online gaming. Driven by highly engaging broadcasts, tournaments and broadcasters seek increasingly immersive experiences. The digital nature of esports generates accessible data, enabling Artificial Intelligence and Machine Learning approaches that can improve narrative quality. The thesis tackles the challenge of applying ML to fast-paced live coverage by proposing models that produce meaningful insights and remain robust across game patches. It also provides guidance for integrating ML into real broadcasting workflows and narrative creation, aiming to increase practical impact and longevity.","Applying Machine Learning to Enhance Esport Broadcast Narratives  \nAlan Pedrassoli Chitayat  \nDoctor of Philosophy University of York Computer Science  \nJanuary 2025  \nii  \nAbstract  \nEsports has emerged as one of the fastest-growing entertainment phenomena, blending the excitement of traditional sports with the immersive, digital environment of online gaming. Fuelled by the popularity of games broadcast, esports commands a massive audience that demands increasingly engaging and immersive experiences. This drives tournament organisers and broadcasters to seek innovative ways to meet these expectations. The digital nature of esports provides a wealth of accessible data, making it an ideal domain for advancements in Artificial Intelligence (AI) and Machine Learning (ML) . This motivates research in the domain as a meaningful data-driven solution to creating more engaging esport broadcasting experiences.  \nHowever, leveraging ML to enhance esports broadcasts presents unique challenges. The fast-paced, complex nature of esports requires models that generate meaningful insights while integrating seamlessly with live coverage. Current research often struggles to bridge the gap between theoretical advancements and practical application, leaving many ML innovations underutilised in live esports broadcasts, which limits their real-world impact.  \nThis thesis addresses these challenges by exploring how ML can be applied to enhance esports broadcast narratives. It provides insights for designing models with greater longevity, ensuring they remain functional across multiple game patches. It also offers considerations for integrating ML models into live broadcast environments, enabling them to more easily complement ecological contexts in real-world applications. Furthermore, it emphasises the importance of seamless integration with existing broadcasting strategies, from production workflows to narrative creation. These findings are then condensed into a framework aimed at ML practitioners that provides practical guidance on how to apply them in to future work in the domain.  \nBy addressing these key areas, this thesis advances the practical and longterm impact of ML research in esports broadcasting and contributes to the continued evolution of this dynamic field.  \niv  \nAcknowledgements  \nThe process of this PhD was full of challenges, tears and doubts. It was also full of wonderful moments, and it thanks to many very special people that I managed to reach this point.  \nFirstly, I would like to thank my supervisors for, above all, believing in me. Going from development work to research was a difficult transition, but it was important to know that I was on the right path. Your support throughout the years-leading up to and during my PhD-was immensely valuable and I am incredibly thankful to Florian Block, James Walker and Anders Drachen.  \nI would also like to thank my partner, Steph. It is difficult to put into written words how much you have helped me. Your persistent reminders of how much I had achieved and how much I was worth-usually rebutted by my passionate protests-prevented me from just giving up in many occasions. Your care for me, your support, you being there for me, I cannot begin to imagine where I would be without you.  \nTo my mother, Milene, I must thank you for pushing me to pursue my dreams, and giving me the environment I needed to do so. I still remember not thinking it would be possible for me to attend university and you telling me that you would “make it work”. Thank you for making it work, as you always do. Thank you for teaching me, for raising me into who I am, and for always being there for me.  \nI would also like to thank my brother, Samy. Twice I needed a lifeline and twice you were there for me. I do not know what I could have done without your support, and I am incredibly thankful for you help. Most importantly, I am thankful for just knowing you are there for me when I need it.  \nTo all of my friends in the","cbCaigisPyERIKEn","https://ap.wps.com/l/cbCaigisPyERIKEn","pdf",42398617,1,303,"English","en",105,"# Abstract\n# Acknowledgements\n# Declaration\n## Publications and Thesis Chapters","[{\"question\":\"What problem does the thesis address about applying machine learning to esports broadcasts?\",\"answer\":\"It focuses on the difficulty of bridging ML theory with practical, live esports usage, especially given the domain’s fast pace and complexity.\"},{\"question\":\"How does the thesis propose to improve esports broadcast narratives using ML?\",\"answer\":\"It explores ML applications that generate meaningful insights and support narrative enhancement while integrating into live coverage contexts.\"},{\"question\":\"Why is robustness across game patches emphasized?\",\"answer\":\"The thesis designs insights and models intended to keep functioning across multiple game updates, improving long-term usefulness in real deployments.\"}]","Applying Machine Learning to Enhance Esport Broadcast Narratives | PDF",1785946072,764,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":87,"head_meta":89,"extra_data":91,"updated_unix":28},"applying-machine-learning-to-enhance-esport-broadcast-narratives","",{"@graph":36,"@context":86},[37,54,69],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/applying-machine-learning-to-enhance-esport-broadcast-narratives/128245/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":63,"encodingFormat":61,"isAccessibleForFree":64,"interactionStatistic":65},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-23","2026-08-05",true,{"@type":66,"interactionType":67,"userInteractionCount":20},"InteractionCounter",{"@type":68},"ViewAction",{"@type":70,"mainEntity":71},"FAQPage",[72,78,82],{"name":73,"@type":74,"acceptedAnswer":75},"What problem does the thesis address about applying machine learning to esports broadcasts?","Question",{"text":76,"@type":77},"It focuses on the difficulty of bridging ML theory with practical, live esports usage, especially given the domain’s fast pace and complexity.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"How does the thesis propose to improve esports broadcast narratives using ML?",{"text":81,"@type":77},"It explores ML applications that generate meaningful insights and support narrative enhancement while integrating into live coverage contexts.",{"name":83,"@type":74,"acceptedAnswer":84},"Why is robustness across game patches emphasized?",{"text":85,"@type":77},"The thesis designs insights and models intended to keep functioning across multiple game updates, improving long-term usefulness in real deployments.","https://schema.org",{"og:url":52,"og:type":88,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":90,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":93},[94,98,102,106,111,116,121,124,129,132,136],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":95,"show_sort_weight":96,"slug":97},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":103,"show_sort_weight":104,"slug":105},"Exam",70,"exam",{"id":107,"doc_module":4,"doc_module_name":46,"category_name":108,"show_sort_weight":109,"slug":110},5,"Comic",60,"comic",{"id":112,"doc_module":4,"doc_module_name":46,"category_name":113,"show_sort_weight":114,"slug":115},6,"Technology",50,"technology",{"id":117,"doc_module":4,"doc_module_name":46,"category_name":118,"show_sort_weight":119,"slug":120},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":46,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":46,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":46,"category_name":138,"show_sort_weight":107,"slug":139},19,"General","general"]