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Since information can spread rapidly and widely more than ever on Online Social Networks (OSNs), they have become new hot beds of false rumor diffusion. Due to the potential harm these false information may bring to the public, false rumor detection has become a significant but challenging research topic. While previous research work mostly views it as a classification task, we treat it as an anomaly...
Too many content polluters on social networks make it difficult for users to browse valuable contents. Some research has been done in spam and phishing detection on social networks but these are only a small part of all content polluters. What bother users most are those large amount of repeated low quality advertisements. Hence it is necessary to filter these content polluters to improve users' experiences...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.