Tackling Misinformation in Mobile Social Networks A BERT- LSTM Approach for Enhancing Digital Literacy

Tackling Misinformation in Mobile Social Networks A BERT- LSTM Approach for Enhancing Digital Literacy | 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 Article Tackling Misinformation in Mobile Social Networks A BERT- LSTM Approach for Enhancing Digital Literacy Jun Wang, 俊 王, Airong Yu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4116981/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 07 Jan, 2025 Read the published version in Scientific Reports → Version 1 posted 13 You are reading this latest preprint version Abstract The rapid fusion of mobile Internet with the media industry has exponentially accelerated the production and dissemination of misinformation, significantly impacting society. Mobile social networks, in particular, act as fertile grounds for the rapid spread of false news, demanding innovative oversight mechanisms to mitigate this digital epidemic. Our study introduces a robust detection model for false news in mobile social networks, leveraging the synergistic capabilities of Bidirectional Encoder Representations from Transformers (BERT) and Long Short-Term Memory (LSTM) networks. BERT's prowess in contextual word vector extraction, combined with LSTM's sequential data processing strength, provides a nuanced understanding of news content authenticity. We present empirical evidence showcasing the superior performance of our model, which outstrips conventional classifiers like random forest and logistic regression, with an impressive accuracy of 93.51%, recall of 91.96%, and an F1 score of 92.73%. Beyond mere detection, our approach advocates for the empowerment of users, fostering enhanced digital literacy through the development of critical skills necessary to discern credible information. By integrating BERT and LSTM, our model not only effectively flags misinformation but also serves as an educational tool, guiding users towards informed decision-making in the realm of mobile social networks. This research underscores the pivotal role of advanced computational techniques in the fight against misinformation, spotlighting the transformative potential of AI in bolstering digital literacy in an era inundated with ambiguous information. Earth and environmental sciences/Environmental social sciences/Psychology and behaviour Earth and environmental sciences/Environmental social sciences/Sustainability Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 07 Jan, 2025 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 06 Aug, 2024 Reviews received at journal 03 Aug, 2024 Reviewers agreed at journal 22 Jul, 2024 Reviewers agreed at journal 22 Jul, 2024 Reviews received at journal 21 Jun, 2024 Reviewers agreed at journal 11 Jun, 2024 Reviews received at journal 10 Jun, 2024 Reviewers agreed at journal 31 May, 2024 Reviewers invited by journal 29 May, 2024 Editor assigned by journal 28 May, 2024 Editor invited by journal 01 Apr, 2024 Submission checks completed at journal 01 Apr, 2024 First submitted to journal 17 Mar, 2024 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. 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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-4116981","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":286198731,"identity":"95d43bfd-9725-4eca-96ab-e599416c7fcf","order_by":0,"name":"Jun Wang","email":"","orcid":"","institution":"Nanjing Vocational College of Information Technology","correspondingAuthor":false,"prefix":"","firstName":"Jun","middleName":"","lastName":"Wang","suffix":""},{"id":286198732,"identity":"04222b7c-7fe6-4ee2-9451-46364b234bfc","order_by":1,"name":"俊 王","email":"","orcid":"","institution":"Nanjing University of Information Science\u0026Technology","correspondingAuthor":false,"prefix":"","firstName":"俊","middleName":"","lastName":"王","suffix":""},{"id":286198733,"identity":"e67e911b-4528-44f5-90a5-a08458de93d3","order_by":2,"name":"Airong Yu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAtklEQVRIiWNgGAWjYLCCBwYMDPzMzIcfEK8lAahFsp0tzYAELUBscJ5HQYIo1QY3Ehg/JBTYyRkf5mEwYKixiSZGC7NEgkGysdlh3gMPGI6l5TYQoYUBqOVA4rbDfAkGjA2HidLC/AOopX5zM4+BBLFa2EC2JBgwE6tF8swDNgugXwxnHAYGcgIxfuE7nsB848MfO3n+/sOHH3yosSGsReEA/wcEL4GQchCQJ2joKBgFo2AUjAIA4Og9JabgaQAAAAAASUVORK5CYII=","orcid":"","institution":"The Army Engineering University of PLA","correspondingAuthor":true,"prefix":"","firstName":"Airong","middleName":"","lastName":"Yu","suffix":""}],"badges":[],"createdAt":"2024-03-17 12:29:24","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4116981/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4116981/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-025-85308-4","type":"published","date":"2025-01-07T15:56:50+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":73693710,"identity":"055d42df-2d71-4c5e-9f07-04648dad6a16","added_by":"auto","created_at":"2025-01-13 15:59:23","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":646853,"visible":true,"origin":"","legend":"","description":"","filename":"TacklingMisinformationinMobileSocialNetworksABERTLSTMApproachforEnhancingDigitalLiteracy0328.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4116981/v1_covered_56628c62-e177-40be-ac07-f128d48a4e24.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Tackling Misinformation in Mobile Social Networks A BERT- LSTM Approach for Enhancing Digital Literacy","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-4116981/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4116981/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThe rapid fusion of mobile Internet with the media industry has exponentially accelerated the production and dissemination of misinformation, significantly impacting society. 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