Stack Overflow incentive system awards users with reputation scores to ensure quality. The decentralized nature of the forum may make the incentive system prone to manipulation. This paper offers, for the first time, a comprehensive study of the reported types of reputation manipulation scenarios that might be exercised in Stack Overflow and the prevalence of such reputation gamers by qualitative study of 1,697 posts from meta Stack Exchange sites. We found six different types of reputation fraud scenarios, such as voting rings where communities form to upvote each other repeatedly on similar posts. We sought to develop algorithms to allow platform managers to automatically identify these suspicious reputation gaming scenarios, for review. The first algorithm identifies isolated/semi-isolated communities where probable reputation frauds may occur mostly by collaborating with each other. The second algorithm looks for sudden unusual big jumps in the reputation scores of users. We evaluated the performance of our algorithms by examining the reputation history dashboard of Stack Overflow users from the Stack Overflow website. We observed that around 60-80% of users that are considered to be suspicious by our algorithms got their reputation scores removed by Stack Overflow.
翻译:论坛的分散性质可能使得奖励制度容易被操纵。本文件首次全面研究在Stack溢出时可能实施的举报类型的名声操纵假想,并通过对来自Stak Exchange网站的1,697个元站点的1,697个站点进行定性研究而使这类名声游戏家普遍化。我们发现有六种不同类型的名声欺诈假想,例如投票环,社区在类似站点上反复投票。我们试图开发算法,使平台管理员能够自动识别这些可疑的名声赌博假想,以供审查。第一种算法确定了孤立/半孤立的社区,在这些社区中,可能发生的名声欺诈可能主要通过相互协作发生。第二种算法在用户的名声评分方面突然出现异常大跳跃。我们通过审查Stack 溢出网站的Stack Overplow用户的名声记录仪,评估了我们的算法绩效。我们发现,约有60-80%被认为可疑的用户被Stack overflot网站的名声评分。