[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-127033-en":3,"doc-seo-127033-105":30,"detail-sidebar-cat-0-en-105":91},{"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":4,"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},127033,962084928904,"Asher","https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d",8,"Research & Report","Detecting Fake News of Evolving Events using Machine Learning - Case of Russia-Ukraine War","Fake news detection is critical in information-driven environments where events evolve and information dynamics shift rapidly. Existing research often emphasizes static news, leaving gaps in addressing misinformation challenges created by unfolding, fluid situations. This work targets fake news detection in evolving events by integrating machine learning with incremental training updates and model retraining to remain scalable and adaptable. A new Russia–Ukraine war dataset is built from Twitter postings, achieving 94% overall accuracy and outperforming two recent methods by 5%–10%.","Association for Information Systems  \nAIS Electronic Library (AISeL)  \n\n| ACIS 2023 Proceedings | Australasian (ACIS) |\n| --- | --- |\n| 12-2-2023\u003Cbr>Detecting Fake News of Evolving Events using Machine Learning: Case of Russia-Ukraine War\u003Cbr>Jannatul Ferdush\u003Cbr>Centre for Smart Analytics Institute of Innovation, Science and Sustainability, Federation University, Australia, Australia, [jannatulferdush@students.federation.edu.au](jannatulferdush@students.federation.edu.au)\u003Cbr>Joarder Kamruzzaman\u003Cbr>Centre for Smart Analytics \\& Institute of Innovation, Science and Sustainability, Federation University, Australia, Australia, [joarder.kamruzzaman@federation.edu.au](joarder.kamruzzaman@federation.edu.au)\u003Cbr>Gour Karmakar\u003Cbr>Centre for Smart Analytics \\& Institute of Innovation, Science and Sustainability, Federation University, Australia, Australia, [gour.karmakar@federation.edu.au](gour.karmakar@federation.edu.au)\u003Cbr>Iqbal Gondal\u003Cbr>SCT, STEM College, RMIT University, Australia, Australia, [iqbal.gondal@rmit.edu.au](iqbal.gondal@rmit.edu.au)\u003Cbr>Raj Das\u003Cbr>Federation University, Australia, [r.das@federation.edu.au](r.das@federation.edu.au)\u003Cbr>Follow this and additional works at: [https://aisel.aisnet.org/acis2023](https://aisel.aisnet.org/acis2023) |  |\n\nRecommended Citation  \nFerdush, Jannatul; Kamruzzaman, Joarder; Karmakar, Gour; Gondal, Iqbal; and Das, Raj, \"Detecting Fake News of Evolving Events using Machine Learning: Case of Russia-Ukraine War\" (2023) . ACIS 2023 Proceedings. 122.  \n[https://aisel.aisnet.org/acis2023/122](https://aisel.aisnet.org/acis2023/122)  \nThis material is brought to you by the Australasian (ACIS) at AIS Electronic Library (AISeL) . It has been accepted for inclusion in ACIS 2023 Proceedings by an authorized administrator of AIS Electronic Library (AISeL) . For more information, please [contact](contact elibrary@aisnet.org)[ elibrary@aisnet.org](contact elibrary@aisnet.org).  \nAustralasian Conference on Information Systems Jannatul et al.  \n2023, Wellington Detecting Fake News of Evolving Events  \nDetecting Fake News of Evolving Events using Machine Learning: Case of Russia-Ukraine War  \nFull research paper  \nJannatul Ferdush  \nCentre for Smart Analytics & Institute of Innovation, Science and Sustainability,  \nFederation University, Australia  \nEmail: [jannatulferdush@students.federation.edu.au](jannatulferdush@students.federation.edu.au)  \nJoarder Kamruzzaman  \nCentre for Smart Analytics & Institute of Innovation, Science and Sustainability,  \nFederation University, Australia  \nEmail: [joarder.kamruzzaman@federation.edu.au](joarder.kamruzzaman@federation.edu.au)  \nGour Karmakar  \nCentre for Smart Analytics & Institute of Innovation, Science and Sustainability,  \nFederation University, Australia  \nEmail: [gour.karmakar@federation.edu.au](gour.karmakar@federation.edu.au)  \nIqbal Gondal  \nSCT, STEM College,  \nRMIT University, Australia  \nEmail: [iqbal.gondal@rmit.edu.au](iqbal.gondal@rmit.edu.au)  \nRaj Das  \nCentre for Smart Analytics & Institute of Innovation, Science and Sustainability,  \nFederation University, Australia  \nEmail: [r.das@federation.edu.au](r.das@federation.edu.au)  \nAbstract  \nFake news detection is important in the context of evolving events in today’s information-driven society. The current status of fake news detection literature focuses on static news articles, neglecting the challenges posed by the dynamic nature of evolving events. So, this research contributes to the existing literature by addressing the specific challenges of fake news detection within evolving events. By incorporating machine learning techniques and considering the evolving nature of events, our approach offers a scalable and adaptable solution for detecting fake news in evolving situations by incrementally updating training data and retraining the model. For the evaluation purpose, we also created a new fake news dataset on the Russia-Ukraine war from the Twitter postings. Extensive evaluation of our proposed ","cbCaippJI7kgsp6e","https://ap.wps.com/l/cbCaippJI7kgsp6e","pdf",992301,1,14,"English","en",105,"# Abstract\n# Introduction\n## Problem background: evolving events and misinformation\n## Examples and motivation\n# Proposed approach\n## Machine learning with incremental retraining\n# Dataset construction\n## Russia–Ukraine war data from Twitter\n# Evaluation\n## Accuracy and comparison with baseline methods\n# Conclusion","[{\"question\":\"Why is fake news detection harder for evolving events than for static news?\",\"answer\":\"Evolving events change quickly while misinformation can spread before verified facts are established, creating unique, time-sensitive detection challenges.\"},{\"question\":\"How does the proposed method adapt to evolving events over time?\",\"answer\":\"It uses machine learning with incremental updates to training data and retrains the model to stay scalable and adaptable as the event evolves.\"},{\"question\":\"What dataset is used for evaluation, and how is it created?\",\"answer\":\"A new fake news dataset is created for the Russia–Ukraine war using Twitter postings as the data source.\"}]","Detecting Fake News of Evolving Events using Machine Learning - Case of Russia-Ukraine War | PDF",1785936470,35,{"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":86,"head_meta":88,"extra_data":90,"updated_unix":28},"detecting-fake-news-of-evolving-events-using-machine-learning-case-of-russia-ukraine-war","",{"@graph":36,"@context":85},[37,54,68],{"@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/detecting-fake-news-of-evolving-events-using-machine-learning-case-of-russia-ukraine-war/127033/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is fake news detection harder for evolving events than for static news?","Question",{"text":75,"@type":76},"Evolving events change quickly while misinformation can spread before verified facts are established, creating unique, time-sensitive detection challenges.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does the proposed method adapt to evolving events over time?",{"text":80,"@type":76},"It uses machine learning with incremental updates to training data and retrains the model to stay scalable and adaptable as the event evolves.",{"name":82,"@type":73,"acceptedAnswer":83},"What dataset is used for evaluation, and how is it created?",{"text":84,"@type":76},"A new fake news dataset is created for the Russia–Ukraine war using Twitter postings as the data source.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]