{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T05:22:48Z","timestamp":1769836968181,"version":"3.49.0"},"reference-count":107,"publisher":"Emerald","issue":"10","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,28]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>This paper aims to propose a solution for dissolving the \u201cprivacy paradox\u201d in social networks, and explore the feasibility of adopting a synergistic mechanism of \u201cdeep-learning algorithms\u201d and \u201cdifferential privacy algorithms\u201d to dissolve this issue.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>To validate our viewpoint, this study constructs a game model with two algorithms as the core strategies.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>The \u201cdeep-learning algorithms\u201d offer a \u201cprofit guarantee\u201d to both network users and operators. On the other hand, the \u201cdifferential privacy algorithms\u201d provide a \u201csecurity guarantee\u201d to both network users and operators. By combining these two approaches, the synergistic mechanism achieves a balance between \u201cprivacy security\u201d and \u201cdata value\u201d.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Practical implications<\/jats:title>\n                    <jats:p>The findings of this paper suggest that algorithm practitioners should accelerate the innovation of algorithmic mechanisms, network operators should take responsibility for users\u2019 privacy protection, and users should develop a correct understanding of privacy. This will provide a feasible approach to achieve the balance between \u201cprivacy security\u201d and \u201cdata value\u201d.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>These findings offer some insights into users\u2019 privacy protection and personal data sharing.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/k-03-2024-0544","type":"journal-article","created":{"date-parts":[[2024,6,10]],"date-time":"2024-06-10T22:54:45Z","timestamp":1718060085000},"page":"6111-6138","source":"Crossref","is-referenced-by-count":1,"title":["How to dissolve the \u201cprivacy paradox\u201d in social networks? 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