With　the　increasing　popularity　of　social　networks,　user　data　as　well　as　analysis　results　from　social　networks　have　become　extensively　utilized,　and　the　extensive　sharing,　deep　mining　and　analysis　of　data　have　brought　about　unprecedented　challenges　regarding　privacy　breaches.　To　tackle　privacy　issues　in　social　networks,　researchers　have　proposed　a　number　of　privacy-preserving　techniques　as　well　as　techniques　to　achieve　a　good　balance　between　data　sharing　and　privacy　protection.　First,social　networks　and　privacy-preserving　techniques　were　briefly　reviewed.　Subsequently,　privacy-preserving　technologies　oriented　towards　information　content,　graph　structure,　and　both　information　content　and　graph　structure,　were　reviewed,　respectively.　Following　this,　metrics　for　evaluating　privacy-preserving　technologies　in　social　networks　were　reviewed,　including　attack　and　threat　resistance,　and　privacy　utility.　Finally,　challenges　for　future　work　and　future　research　directions　were　also　discussed.　©　2025　Beijing　University　of　Technology.　All　rights　reserved.