The Social World of Content Abusers in Community Question Answering
The Social World of Content Abusers in Community Question Answering
复制标题
社区问答中内容滥用者的社交世界
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
F. Bonchi
中科院分区：
文献类型：
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作者：
Md. Imrul Kayes;N. Kourtellis;D. Quercia;Adriana Iamnitchi;F. Bonchi
基于社区的问答平台可以成为从金融到烹饪等各种专业主题的丰富信息来源。这些平台的有用性在很大程度上取决于用户的贡献（问题和答案），但也取决于尊重社区规则。作为一种众包服务，这些平台依赖于其用户来监控和标记违反社区规则的内容。通常的做法是淘汰那些收到很多标志的用户。我们对一个成熟的问答网站一年的跟踪分析表明，旗帜的数量并不能说明全部情况：一方面，拥有许多旗帜的用户仍然可能对社区做出积极贡献。另一方面，从未被标记的用户被发现违反社区规则并被暂停帐户。然而，这项分析也表明，滥用用户被他们的网络属性出卖了：我们发现了同性恋行为的强有力证据，并利用这一发现来检测社区雷达下的滥用用户。根据我们的经验观察，我们建立了一个分类器，能够检测到滥用用户的准确率高达83%。
Community-based question answering platforms can be rich sources of information on a variety of specialized topics, from finance to cooking. The usefulness of such platforms depends heavily on user contributions (questions and answers), but also on respecting the community rules. As a crowd-sourced service, such platforms rely on their users for monitoring and flagging content that violates community rules. Common wisdom is to eliminate the users who receive many flags. Our analysis of a year of traces from a mature Q&A site shows that the number of flags does not tell the full story: on one hand, users with many flags may still contribute positively to the community. On the other hand, users who never get flagged are found to violate community rules and get their accounts suspended. This analysis, however, also shows that abusive users are betrayed by their network properties: we find strong evidence of homophilous behavior and use this finding to detect abusive users who go under the community radar. Based on our empirical observations, we build a classifier that is able to detect abusive users with an accuracy as high as 83%.