不相关的消息
我正在考虑制作一个网站.. 顺便说一句，我如何确保当提出某些问题的用户没有使用任何辱骂性语言或消息完全以主题为导向时。 我不是在谈论垃圾邮件..我知道验证码和所有.. 我要问的是，我如何才能关注人类活动[在本例中为发送的消息]，同时为用户提供完整的隐私！
i am thinking of making a website..
bt how can i make sure that when a user who is asking some question is nt using any abusive language or the message is totally subject oriented..
i m nt talking about spams..i know about captcha and all..
what i am asking is how can i keep an eye on human activity[in this case the messages sent] and at the same time providing the user his complete privacy!
如果你对这篇内容有疑问，欢迎到本站社区发帖提问 参与讨论，获取更多帮助，或者扫码二维码加入 Web 技术交流群。
绑定邮箱获取回复消息
由于您还没有绑定你的真实邮箱，如果其他用户或者作者回复了您的评论，将不能在第一时间通知您！
发布评论
评论（5）
一个字……手动。
One word... manually.
他们在网络上，他们已经没有完全的隐私。
为社区提供自我监管的手段，无论是明确指定管理员（如大多数公告板），允许他们决定可以看到谁和不能看到谁（如社交媒体网站），还是协作审核（如此处）。< /p>
They're on the web, they already don't have complete privacy.
Offer the community the means to police themselves, whether by explicitly appointing moderators (like most bulletin boards), allowing them to decide who they can and cannot see (like social media sites), or collaborative moderation (like here).
您可以设置一个系统，评论/帖子必须经过版主批准才能发布。我相信Wordpress 可以做到这一点。
You can set up a system where comments/posts must be approved by a moderator before being allowed to be posted. I believe Wordpress can do this.
大多数语言都有脏话过滤库，通常能够自定义被过滤掉的词。
为了过滤垃圾邮件，有诸如贝叶斯垃圾邮件过滤器之类的东西，它们尝试确定邮件是否是基于响应中关键字的垃圾邮件。这确实不是您想要尝试自己做的事情。
另一件需要注意的事情是马尔可夫链。它们旨在根据任何给定单词后跟任何其他特定单词的概率生成看似有效的文本字符串。使用相反的过程，您可以尝试通过检查所使用的单词后面是否有其他“主题”单词来确定文本字符串是否有效。
这也会非常困难。
为了保护用户的隐私，您可以结合使用这三个测试来创建阈值。也就是说，您将检查否消息，除非它们达到很高的诅咒/垃圾邮件/离题分数。届时，将手动检查这些消息以查看它们是否合适。
目前还没有办法实现 100% 自动化的流程，不会阻止有效消息并让无效消息通过。
There are curse-word filtering libraries available in most languages, usually complete with the ability to customize the words that are filtered out.
In order to filter spam, there are things like bayesian spam filters which attempt to determine whether a message is spam based on keywords in the response. This really isn't something you would want to attempt to do yourself.
Another thing to look at is Markov Chains. They are designed to generate strings of seemingly valid text based on the probability that any given word is followed by any other particular word. Using a reverse process you can attempt to determine if a string of text is valid by checking whether the words used are following by other "on-topic" words.
This would be very difficult as well.
In order to keep the privacy of the users, you could use combinations of these three tests to create a threshold. That is, you will examine no messages unless they reach a high curse/spam/off-topic score. At that point, those messages will be manually checked to see if they are appropriate.
There currently is no way to have a 100% automated process that won't block valid messages and let invalid ones through.
你的答案就在这里。不过我不太明白你对隐私的理解。
Your answer lies here. I don't quite understand what you're getting at about privacy though.