An Intelligent Information System for Evidence-Grounded Weekly Report Generation from Multi-Source News

An Intelligent Information System for Evidence-Grounded Weekly Report Generation from Multi-Source 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 An Intelligent Information System for Evidence-Grounded Weekly Report Generation from Multi-Source News Peng Gao, Xi Qin, Zhenrong Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9121616/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 16 You are reading this latest preprint version Abstract Weekly reporting from open-source news requires an intelligent information system that can integrate multi-source inputs, reduce cross-document redundancy, maintain topic coverage, and preserve temporal consistency while keeping intermediate evidence auditable and outputs editable. Existing pipelines often rely on single-channel retrieval or direct end-to-end generation, which limits controllability, traceability, and robustness in practical deployment. This paper presents an intelligent information system for evidence-grounded weekly report generation from multi-source news. The system forms a deployable closed loop including news ingestion, automatic selection and structuring, dual-evidence summarization, constrained draft generation, and interactive revision with version archiving. At the algorithmic level, it integrates three modules: (1) an entropy-adaptive hybrid relevance model that combines Sentence-BERT (SBERT) and term frequency--inverse document frequency (TF--IDF) for relevance estimation and top-N material selection; (2) a dual-evidence summarization module that combines position-decayed TextRank with semantic centrality for redundancy-aware content compression; and (3) a reliable time-estimation module that fuses metadata dates with temporal expressions extracted from article bodies. Experiments on a one-week Association of Southeast Asian Nations (ASEAN) news dataset require no manual annotation. The adaptive hybrid reduces the top-N near-duplicate rate to 0.0068, compared with 0.0089 for SBERT-only and 0.0103 for TF--IDF-only. Relative to standard TextRank, position decay lowers summary redundancy from 0.0553 to 0.0511 while maintaining comparable coverage. In a controlled missing-metadata setting, the time module triggers an auditable text-driven fallback path to preserve usable temporal outputs. Overall, the proposed system provides a relevance-aware, redundancy-aware, and traceable solution for weekly report generation. intelligent information system evidence-grounded weekly report generation multi-source news integration temporal grounding Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 15 May, 2026 Reviewers agreed at journal 13 May, 2026 Reviewers agreed at journal 11 May, 2026 Reviewers agreed at journal 11 May, 2026 Reviewers agreed at journal 11 May, 2026 Reviewers agreed at journal 10 May, 2026 Reviewers agreed at journal 10 May, 2026 Reviewers agreed at journal 10 May, 2026 Reviewers agreed at journal 09 May, 2026 Reviewers agreed at journal 09 May, 2026 Reviewers agreed at journal 08 May, 2026 Reviewers agreed at journal 07 May, 2026 Reviewers invited by journal 07 May, 2026 Editor assigned by journal 16 Mar, 2026 Submission checks completed at journal 16 Mar, 2026 First submitted to journal 14 Mar, 2026 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-9121616","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":641090179,"identity":"f0662574-67a7-4901-a56a-b378d26d7c6b","order_by":0,"name":"Peng Gao","email":"","orcid":"","institution":"Guangxi University","correspondingAuthor":false,"prefix":"","firstName":"Peng","middleName":"","lastName":"Gao","suffix":""},{"id":641090183,"identity":"75dac44e-e1ee-4b22-9545-1cde09efbd65","order_by":1,"name":"Xi Qin","email":"","orcid":"","institution":"Guangxi University","correspondingAuthor":false,"prefix":"","firstName":"Xi","middleName":"","lastName":"Qin","suffix":""},{"id":641090185,"identity":"5b51bd2f-7c3a-44cd-88a1-9cc673ef8d51","order_by":2,"name":"Zhenrong Zhang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAv0lEQVRIiWNgGAWjYHAC9h8fKiAsCaL1SM44Q6oWac42UrTI9599YMw4rzZxwwHmg7d5GOzyCGphbDhukFy47bixwQG2ZGsehuRiglqYGdsYDs/cdkzO4ACPmTQPw4HEBkJa2JjZGJt55xzjMTjA/404LTxsbMzMvA01IFvYiNMiAdTDOOPYAWPJw2zGlnMMkglrke8/xsbwoaYuse9488MbbyrsCGuBgsPAgADRBkSqB4I64pWOglEwCkbByAMAIOA0nOS28OsAAAAASUVORK5CYII=","orcid":"","institution":"Guangxi University","correspondingAuthor":true,"prefix":"","firstName":"Zhenrong","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2026-03-14 10:09:36","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9121616/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9121616/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":109760065,"identity":"de7eb627-0a1f-4435-ba2f-89c213b30e72","added_by":"auto","created_at":"2026-05-22 07:28:07","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2649423,"visible":true,"origin":"","legend":"","description":"","filename":"JIISGaoTongQinWeeklyReportSystem.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9121616/v1_covered_1f81ee13-056d-4ef4-894b-bbfd3a105fb0.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An Intelligent Information System for Evidence-Grounded Weekly Report Generation from Multi-Source News","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"the-journal-of-supercomputing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [The Journal of Supercomputing](https://www.springer.com/journal/11227)","snPcode":"11227","submissionUrl":"https://submission.nature.com/new-submission/11227/3","title":"The Journal of Supercomputing","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"intelligent information system, evidence-grounded weekly report generation, multi-source news integration, temporal grounding","lastPublishedDoi":"10.21203/rs.3.rs-9121616/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9121616/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Weekly reporting from open-source news requires an intelligent information system that can integrate multi-source inputs, reduce cross-document redundancy, maintain topic coverage, and preserve temporal consistency while keeping intermediate evidence auditable and outputs editable. 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