Smart Education with Deep Learning and Social Media for Disaster Management in the pursuit of Environmental Sustainability While avoiding Fake News

Smart Education with Deep Learning and Social Media for Disaster Management in the pursuit of Environmental Sustainability While avoiding Fake News | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Smart Education with Deep Learning and Social Media for Disaster Management in the pursuit of Environmental Sustainability While avoiding Fake News Bouzidi Zair, Boudries Abdelmalek, Amad Mourad This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2042061/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Networking continues to increase day by day to invest increasingly our daily, creating huge volume of various and precise data: it is not easy to collect content, especially in crisis times. We focus on Smart Education proposed as primary tool of a hybrid of Deep Convolutional Neural Networks (CNN)-Long Short-Term Memory (LSTM)-based model to retrieving content efficiently: CNN is used to extract meaningful features from multiple sources, enabling to have qualitative and sure information, notably with an efficient fake news security, and LSTM is used to maintain long-term dependencies in the extracted features with recurrent connections. This model has been compared to previous approaches to the performance of a publicly available dataset to demonstrate its highly satisfactory performance. This new approach makes it possible to integrate artificial intelligence technologies, deep learning, social media and detecting or avoiding fake news into the crisis management model. It is based on an extension of our previous approach, namely disaster management based on short-term memory and education: this experience constitutes a background for this model. It combines representation training with awareness and education, while retrieving pattern information by combining various search results from multiple sources. We have extended it to improve our disaster management model and evaluate it in the case of Covid-19 while obtaining promising results, through past programs and experience that have shown overwhelmingly positive effects of education for vulnerability reduction and disaster risk management, in the pusuit of Environmental Sustainability. Special Education Learning from Experience Observations and Mistakes Beginner Mode Children education Alert Online Manual Rehearsal Mode Relevant Steps Awareness Deep Learning Disaster Management Novice Mode Smart Education Social Media Full Text Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-2042061","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":134901724,"identity":"9545b0cf-4987-4bdb-afdc-96594c275c87","order_by":0,"name":"Bouzidi Zair","email":"data:image/png;base64,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","orcid":"","institution":"University of Bejaia","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Bouzidi","middleName":"","lastName":"Zair","suffix":""},{"id":134901725,"identity":"02413138-327e-40a3-aa42-5ce1adecaef8","order_by":1,"name":"Boudries Abdelmalek","email":"","orcid":"","institution":"University of Bejaia","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Boudries","middleName":"","lastName":"Abdelmalek","suffix":""},{"id":134901726,"identity":"084dd71d-a866-44bf-94f0-9111997194cc","order_by":2,"name":"Amad Mourad","email":"","orcid":"","institution":"University of Bouira","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Amad","middleName":"","lastName":"Mourad","suffix":""}],"badges":[],"createdAt":"2022-09-07 14:58:40","currentVersionCode":1,"declarations":{"humanSubjects":false,"vertebrateSubjects":false,"conflictsOfInterestStatement":true,"humanSubjectEthicalGuidelines":false,"humanSubjectConsent":false,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false,"coiExplicitlySet":false},"doi":"10.21203/rs.3.rs-2042061/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2042061/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":26363360,"identity":"c09ce319-e83a-4c1d-a63f-dda940033a67","added_by":"auto","created_at":"2022-09-12 20:01:53","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":576297,"visible":true,"origin":"","legend":"","description":"","filename":"PaperSmartEducationFakeDMSept072022.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2042061/v1_covered.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eSmart Education with Deep Learning and Social Media for Disaster Management in the pursuit of Environmental Sustainability While avoiding Fake News\u003c/p\u003e","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-2042061/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Learning from Experience, Observations and Mistakes, Beginner Mode, Children education, Alert, Online Manual Rehearsal Mode, Relevant Steps, Awareness, Deep Learning, Disaster Management, Novice Mode, Smart Education, Social Media","lastPublishedDoi":"10.21203/rs.3.rs-2042061/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2042061/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eNetworking continues to increase day by day to invest increasingly our daily, creating huge volume of various and precise data: it is not easy to collect content, especially in crisis times. 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