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A lower spam threshold score, such as a one, is aggressive and labels many messages as spam, including messages that may not be spam. However, a higher value, such as a ten, is passive and only labels messages that are obviously spam. 1. Click Spam Threshold Score. The system directs you to the Adjust Spam Threshold Score interface. 2. Select the desired value from the menu. Select Custom from the menu to enter a custom value. 3. Click Update Scoring Options to save your changes. Set this toggle to enabled to configure the Exim service to create a spam folder the next time that you receive spam mail. Spam Box sends any message with a calculated spam score that exceeds the spam threshold score to this folder. This feature preserves email that Apache SpamAssassin may mistakenly classify as spam mail. We recommend that you use Spam Box because you can still view the messages. However, you should occasionally empty this folder because the space that it uses counts towards your email quota limit.

Even when you’re a highly skilled customer support professional who’s capable of holding friendly, nuanced, and helpful conversations with your customers, some conversations can get pretty tricky. What’s the best way to tell someone they can’t have a refund or that you can’t let them log in to an account they claim to own? To make those difficult conversations easier, we’ve put together these templates that you can use for inspiration to craft the perfect responses. Use these 12 customer service response templates and examples to craft your own replies to these tricky support requests. Download this free guide by filling out the form below. A customer is demanding a phone call to solve their issue, but you don’t offer phone support and/or aren’t able to call them. They may be threatening to escalate above you or cancel altogether. In a time of stress like this, your customer can feel like you are refusing to help them at all, even though it’s really a conflict about where the help will come from.

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Participating in the creation and distribution of Web content became dramatically easier with the advent of Web 2.0 in the mid-2000s. This marked the rise of platforms as the dominant structure of the Web. The transformation between the early Web and Web 2.0 has been described as one from "‘web-as-information-source’ to ‘web-as-participation-platform"’ (Song 2010, p. 251). The titans of Web 2.0 are companies like Google, Facebook, and Twitter. Before proceeding further, it is necessary to establish a clear definition of centralized Web platforms. Gillespie’s (2010) discussion of platform politics describes platforms as "content intermediaries" that host user-generated content (p. 348). This intermediary position is significant-platforms tend to be centralized insofar as they occupy a central place in networks of actors, "http://Coollmathgames.com/__media__/js/netsoltrademark.php?d=ptwiki.blitwise.com%2Findex.php%2FFind_Out_How_To_Make_More_Email_Spammer_Bot_Python_By_Doing_Much_Less and it is from this position that "platforms gain not only access to more data but also control and governance over the rules of the game" (Srnicek 2017, p. 52). Gillespie distinguishes between the computational dimension of platforms--their capacity to be built upon with software and data-and more figurative dimensions that serve a variety of actors such as creators, audiences, and marketers.

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