As of April 19, 2018, we released the CleanSpeak UI Update 3.17.0 and we are sure it will get some #@$%!* attention for our profanity filter. More than a %$#*$& font and color update, CleanSpeak 3.17.0 brings improvements and enhancements to our layouts and workflows that make it look cleaner and complete tasks faster for moderators and *&%^*#@ administrators.
If you have been on the internet this week you are aware of the fake news crisis spiralling out of control. But just in case you missed it, recent headlines read something like this: Facebook is being blamed for Trump's election, Google and Facebook Take Aim at Fake News Sites, Facebook’s fake news crisis deepens.
Facebook has over 1 billion active users who utilize the platform to post, share and comment on news. When Facebook was accused of influencing the election, Zuckerberg was quick to say that was a “pretty crazy idea.” Is it really that crazy? Facebook has become a catalyst for the spread of fake news given the ease of it’s “share” button. Regardless, fake news isn’t going away anytime soon, it will likely worsen and while Facebook has taken steps to limit the sites' use of their ad networks, there has been no push to eliminate fake news from the News Feed.
This daunting issue is not Facebook’s alone. Any platform that allows user generated content would be wise to get out ahead of this growing problem in order to prevent this spam and protect their brand. Continue reading
The App Store is a developer's best friend, until your app is rejected. (Are you suffering from App Store Rejection? You aren't alone - watch this humorous video.)
App Store Guidelines
"We will reject Apps for any content or behavior that we believe is over the line. What line, you ask? Well, as a Supreme Court Justice once said, “I’ll know it when I see it”. And we think that you will also know it when you cross it."
Our filter is still @#$%* awesome. We still protect your brand. We still help you maintain a clean and productive community. Our core values have not changed, but our website has.
The reason behind this change was pretty simple: education. Based on current customer remarks, we wanted to rethink the structure of our CleanSpeak page, highlight core features and add/expand pages to add value and customization.
CleanSpeak can filter many types of user-generated content (e.g., chat messages, forum posts and reviews). Running this material through CleanSpeak on a “per message” basis ensures each piece of content is acceptable before allowing it to be seen in your community. Filtering by message makes sense for these specific use cases. But what if you have big data that you want to filter as a whole?
According to Wikipedia, Batch processing is the execution of a series of jobs in a program on a computer without manual intervention (non-interactive). Strictly speaking, it is a processing mode: the execution of a series of programs each on a set or "batch" of inputs, rather than a single input (which would instead be a custom job).
So when might you consider batch processing?
Maybe you purchased a list of names & addresses and want to make sure they don’t contain any vulgar language before including them in your marketing campaign?
Perhaps you allow users to upload files and want to make sure they don’t contain inappropriate content?
Or you gather a list of reviews and want to check them all at once to ensure the language is acceptable before posting to your site?