Online　social　networks　(OSNs)　have　experienced　rapid　growth　in　recent　years,　and　an　increasing　number　of　people　now　use　OSNs,　such　as　Facebook　and　Twitter,　to　share　and　spread　information　on　a　daily　basis.　As　a　special　type　of　information,　user　personal　information　is　also　widely　disseminated　in　such　networks,　posing　threats　to　user　privacy.　The　study　on　privacy　information　dissemination　is　thus　useful　for　the　development　of　mechanisms　and　tools　for　the　effective　protection　of　privacy　information　in　OSNs.　In　this　paper,　we　propose　to　apply　the　game　theory　to　establish　a　sender–receiver　game　model　and　the　Nash　equilibrium　to　describe　the　behavioral　strategies　of　users　in　disseminating　privacy　information.　Factors　that　affect　the　dissemination　of　privacy　information　are　also　analyzed　with　two　important　aspects:　intimacy　and　popularity　of　the　privacy-concerning　subject.　Simulation　experiments　were　conducted　based　on　real　data　sets　from　scale-free　networks　and　real　social　networks　to　compare　and　analyze　the　effectiveness　of　the　model.　Results　show　that　the　proposed　game　theory　is　applicable　to　the　privacy　information　dissemination　model,　which　implements　intimacy　and　popularity　in　the　modeling　of　the　dissemination　of　privacy　information　in　OSNs.　Both　the　impact　of　the　macro-level　OSNs　and　the　micro-relationships　between　users　are　evaluated　on　the　dissemination　of　privacy　information,　which　provides　a　new　perspective　for　exploring　the　dissemination　of　privacy　information　and　facilitates　the　development　of　effective　mechanisms　for　privacy　protection　in　OSNs.　©　2023　by　the　authors.