Thomas Largillier, Guillaume Peyronnet, Sylvain Peyronnet
{"title":"Rocovo: robust communal publication scheme","authors":"Thomas Largillier, Guillaume Peyronnet, Sylvain Peyronnet","doi":"10.1145/2554850.2554889","DOIUrl":null,"url":null,"abstract":"We study the problem of designing a robust validation method for publishing content on social websites. In such websites, users can propose their content to the community. Since the data is user generated, a huge volume of content is published every day on a successful platform. An important problem arising in such websites is that users have to filter all the published content to find something interesting. This filtering can be assisted by the website, thanks to a recommendation mechanism. An even more important problem is that the context is adversarial: some malicious users try to trick the system in order to either publish their own content or make sure that specific content is not published. Therefore, users might not find the content they are interested in either because it is diluted in an ocean of spam or because it was maliciously blocked from publication. In this paper, we present Rocovo (RObust COmmunal VOting), a two phases mechanism that allows for the automatic management of the publication process in a robust and communal manner.","PeriodicalId":285655,"journal":{"name":"Proceedings of the 29th Annual ACM Symposium on Applied Computing","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 29th Annual ACM Symposium on Applied Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2554850.2554889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We study the problem of designing a robust validation method for publishing content on social websites. In such websites, users can propose their content to the community. Since the data is user generated, a huge volume of content is published every day on a successful platform. An important problem arising in such websites is that users have to filter all the published content to find something interesting. This filtering can be assisted by the website, thanks to a recommendation mechanism. An even more important problem is that the context is adversarial: some malicious users try to trick the system in order to either publish their own content or make sure that specific content is not published. Therefore, users might not find the content they are interested in either because it is diluted in an ocean of spam or because it was maliciously blocked from publication. In this paper, we present Rocovo (RObust COmmunal VOting), a two phases mechanism that allows for the automatic management of the publication process in a robust and communal manner.