Detecting “Ripples” of AI-Human Interaction: Three Social Media Cases

Detecting “Ripples” of AI-Human Interaction: Three Social Media Cases | 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 Detecting “Ripples” of AI-Human Interaction: Three Social Media Cases Mengjiao Yin, Wei Wang, Wei Xu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7852578/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 This study introduces an original concept—“social ripple”—to describe the social network effects of AI–Human Interaction that extend beyond the immediate interactants, and proposes a corresponding analytical framework. Three representative social media cases situated at distinct ripple levels—direct interaction, proximal interpersonal, and distant interpersonal—were selected. Using a mixed-methods approach, the study analyzed comment texts from these cases. The findings reveal that: (a) Cognitive Dimension: AI’s personalized response mechanisms generate a “paradox of emotional authenticity”—simultaneously fulfilling immediate affective needs while leading to persistent skepticism due to perceived “non-objectivity” and bias reinforcement. (b) Relational Dimension: The involvement of AI in intimate relationships creates “emotional competition,” where anthropomorphic feedback can destabilize bonds. (c) Societal Dimension: Distant publicsconstruct abstract values centered on “human–existence–emotion,” elevating the controversy over AI romance into a collective defense of human dignity and thereby redefining the essence of social distance—from physical or relational proximity to a distinction based on value positions. Full Text Additional Declarations No competing interests reported. The author confirms that this study was approved by the Ethics Committee of Wuxi Taihu University, and the approval number is THU-EC-2025-1009. All procedures involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki Declaration and its later amendments. 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-7852578","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":531709871,"identity":"ae00bfa8-ce45-4753-8de8-445b150f3ad4","order_by":0,"name":"Mengjiao 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All procedures involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki Declaration and its later amendments.\u003c/p\u003e","formattedTitle":"Detecting “Ripples” of AI-Human Interaction: Three Social Media Cases","fulltext":[],"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":true,"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":"","lastPublishedDoi":"10.21203/rs.3.rs-7852578/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7852578/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study introduces an original concept\u0026mdash;\u0026ldquo;social ripple\u0026rdquo;\u0026mdash;to describe the social network effects of AI\u0026ndash;Human Interaction that extend beyond the immediate interactants, and proposes a corresponding analytical framework. Three representative social media cases situated at distinct ripple levels\u0026mdash;direct interaction, proximal interpersonal, and distant interpersonal\u0026mdash;were selected. Using a mixed-methods approach, the study analyzed comment texts from these cases. The findings reveal that: (a) Cognitive Dimension: AI\u0026rsquo;s personalized response mechanisms generate a \u0026ldquo;paradox of emotional authenticity\u0026rdquo;\u0026mdash;simultaneously fulfilling immediate affective needs while leading to persistent skepticism due to perceived \u0026ldquo;non-objectivity\u0026rdquo; and bias reinforcement. (b) Relational Dimension: The involvement of AI in intimate relationships creates \u0026ldquo;emotional competition,\u0026rdquo; where anthropomorphic feedback can destabilize bonds. (c) Societal Dimension: Distant publicsconstruct abstract values centered on \u0026ldquo;human\u0026ndash;existence\u0026ndash;emotion,\u0026rdquo; elevating the controversy over AI romance into a collective defense of human dignity and thereby redefining the essence of social distance\u0026mdash;from physical or relational proximity to a distinction based on value positions.\u003c/p\u003e","manuscriptTitle":"Detecting “Ripples” of AI-Human Interaction: Three Social Media Cases","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-21 13:22:20","doi":"10.21203/rs.3.rs-7852578/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","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}}],"origin":"","ownerIdentity":"38a2746b-b890-44de-b826-66f0833c23e8","owner":[],"postedDate":"October 21st, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-10-21T13:22:23+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-21 13:22:20","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7852578","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7852578","identity":"rs-7852578","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}