论文标题
一个随机模型，用于估计Snapchat平台上罪犯和目标的数量
A Stochastic Model for Estimating the Number of Offenders and Targets on Snapchat Platform
论文作者
论文摘要
与许多其他社交平台一样，Snapchat为用户提供了报告内容和私人/公共互动的机制，这些机制违反了他们的安全和体面的感觉。根据我们的经验和常识，我们可以肯定地假设并非每个人都在努力报告，可能会留下大量的冒犯用户和内容。这项工作的目的是直接使用当前的应用内报告选项来直接估计某人在Snapchat上报告Snapchat的可能性，从而估算了犯罪者和用户经受其不必要，不受欢迎或不安全互动的总患病率（计数）。
Snapchat, like many other social platforms, provides mechanisms for its users to report content and private/public interactions that violate their sense of safety and decency. From our experience and common sense, we can safely assume that not everybody makes an effort to report, leaving potentially a large number of offending users and content unnoticed. The goal of this work is to directly estimate the probability of someone reporting on Snapchat using current in-app reporting options and, thereby, to provide estimates of the total prevalence (count) of offenders and users subjected to their unwanted, unwelcome or unsafe interactions.
