5 Methods For Improving Social Learning for Content Moderation - Social Media Explorer
5 Methods For Improving Social Learning for Content Moderation
5 Methods For Improving Social Learning for Content Moderation
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Accurate and fair content moderation enables businesses to rapidly improve their site’s user experience, both as a result of a more enjoyable browsing environment, and a higher ROI.

Content moderation using AI software allows web enterprises to quickly and easily scale up content moderation procedures in a manner that is more practical for human users, leaving this challenging yet time-consuming task for machines. Moreover, it allows enterprises to use sophisticated machinery for moderating controversial content, while keeping the results as consistent as possible. Machines can also apply manual moderation procedures, which make these procedures more effective and efficient. 

For the past several years, many tools have been developed for improving content moderation. These include A.I. expert Advisor, Label Revolver, Web Intelligence Bar, and the Google content moderation dashboard. These tools can all be applied at the same time to improve a site’s performance. Below are some ways in which each tool can help improve a site’s performance:

Automatic Content Repository (ACR): With A.I. software and other platforms, it is easy for machines to automatically scan web pages and classify them according to a predefined set of rules. This classifying process can identify potentially harmful or inflammatory keywords, which can be subsequently used to filter out websites. In addition, pre-moderation methods can also detect if a page is violating any of the website’s terms of service or has engaged in any type of activity which could potentially cause damage or loss to a business.

Machine Learning Algorithm (MLA): Using a MLA formulation, it is possible to create and evaluate a variety of classifications for a web site. Once the website is classified, it is easy for a machine to recall the meaning of every flag and the category that it belongs to. This allows the moderator to manually approve or disapprove of flagged content, which increases efficiency. By applying a MLA formulation, it is possible to apply different classification models over a large number of pages without requiring manual approval each time.

Machine Learning Approval System (MLAP): With a MLAP, it is possible to apply different types of algorithms to the entire website in question. This can make it much easier for a machine to differentiate between good content and bad content, which makes it a lot easier for a human moderator to determine what type of content moderation is required. MLAP applications can also detect duplicate content, which is one of the largest problems associated with content moderation. With this method, a moderator will only accept content into a site if it has been uniquely submitted by a human author. Many of today’s automatic content approval systems also have a human moderator function which allows a human moderator to approve or decline a post. These systems can also be used on their own, without being connected to a MLA content network.

Image Labeling Software (ILS): ILS has the ability to label images so it is much easier for a content moderation team to discern between high quality and low quality images. It can also detect content duplicates, which many people believe are a part of the problem associated with bad content. ILS works by comparing a thumbnail image against millions of others. If the two images are remarkably similar, it will trigger an alert. If the images are too far apart, there will be no trigger.

Social Media Platforms: Most social media platforms, including Facebook, Twitter, Pinterest and StumbleUpon have become popular tools for Internet marketers. Because of this, many Internet marketers are able to market their products more effectively than they would be able to with limited access to Internet marketing tools. This type of platform integration provides a great way for content moderation teams to identify unwanted content before it enters a site. Many social media platforms allow a business owner to set up filters so that only relevant posts are allowed into a site.

Social Learning: One of the major benefits of using a content moderation system is the increased level of confidence that a business owner receives from being involved in the moderation process. Having the ability to interact with other members of a moderation team gives a business owner peace of mind that their brand is being handled properly. When interacting with a team of content moderation members, a business owner can learn a great deal about their company, what customers think, and how they can improve customer service. In short, becoming a valued participant in your own moderation team offers great benefits.

About the Author

Doug Brown

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