Content Moderation Marketplace Implio

What is content moderation?

Nov 20 2020

What is content moderation?

Content moderation is when an online platform screen and monitor user-generated content based on platform-specific rules and guidelines to determine if the content should be published on the online platform, or not.

In other words, when content is submitted by a user to a website, that piece of content will go through a screening process (the moderation process) to make sure that the content upholds the regulations of the website, is not illegal, inappropriate, or harassing, etc.

Content moderation as a practice is common across online platforms that heavily rely on user-generated content, such as social media platforms, online marketplaces, sharing economy, dating sites, communities and forums, etc.

There are a number of different forms of content moderation; pre-moderation, post-moderation, reactive moderation, distributed moderation, and automated moderation. In this article we’re looking closer at human moderation and automated moderation, but if you’re curious to learn more, here’s an article featuring the 5 moderation methods.

What is human moderation?

Human moderation, or manual moderation, is the practice when humans manually monitor and screen user-generated content which has been submitted to an online platform. The human moderator follows platform-specific rules and guidelines to protect online users by keeping unwanted, illegal, and inappropriate content as well as scams and harassment, away from the website.

What is automated moderation?

Automated moderation means that any user-generated content submitted to an online platform will be accepted, refused, or sent to human moderation, automatically – based on the platform’s specific rules and guidelines. Automated moderation is the ideal solution for online platforms that want to make sure that quality user-generated content goes live instantly and that users are safe when interacting on their site.

According to a study done by Microsoft, humans only stay attentive for 8-seconds on average. Therefore, online platforms cannot afford to have slow time-to-site of user-generated content or they might risk losing their users. On the other hand, users who encounter poor quality content, spam, scam, inappropriate content, etc., are likely to leave the site instantly. So, where does that leave us? In order for online platforms not to jeopardize quality or time-to-site, they need to consider automated moderation.

When talking about automated moderation, we often refer to machine learning AI (AI moderation) and automated filters. But what are they really?

What is AI moderation?

AI moderation, or tailored AI moderation, is a machine learning model built from online platform-specific data, to efficiently and accurately catch unwanted user-generated content. An AI moderation solution will take highly accurate automated moderation decisions – refusing, approving, or escalating content automatically.

One example that showcases the power of AI moderation is the Swiss online marketplace, Anibis, which successfully automated 94% of its moderation whilst achieving 99.8% accuracy.

As long as you have a high-quality dataset that models can be built on, AI moderation is going to be great for routine decisions. It excels at dealing with cases that almost always look the same or very similar. This usually includes the vast majority of items that are posted to online marketplaces and as such most platforms can benefit from using AI moderation.

It should also be mentioned; that AI moderation can be built on generic data. These models can be effective but are not as accurate as a tailored AI solution as they don’t take site-specific rules and circumstances into account.

What is Automated filter moderation?

Automated filter moderation is a set of rules to automatically highlight and catch unwanted content. The filters (or rules) are efficient at finding content that can’t be misinterpreted or are obvious scams.

Filters are also great for covering sudden rule changes, where the AI has not gotten up to speed yet (Training takes some time and a quality data set). This was well illustrated when the Corona pandemic suddenly made masks and toilet paper problematic. This makes filters a solid complimentary automation tool for your moderation setup.

Automated filters can easily be created, edited, and deleted in our all-in-one content moderation tool, Implio – learn how to create filters here.

Learn how to moderate without censoring

Why moderating content without censoring users demands consistent, transparent policies.

Untitled(Required)

Do’s and don’ts of content moderation

Determining what to do and not to do in content moderation, may vary from site to site. There are many elements and factors that need consideration to get the moderation set up best suited for your specific needs.

However, regardless if you’re running an online marketplace, social media platform, sharing economy site, etc., there are some things true about what to do and not to do when it comes to content moderation.

Do’s of content moderation

Don’ts of content moderation

This is Besedo

Global, full-service leader in content moderation

We provide automated and manual moderation for online marketplaces, online dating, sharing economy, gaming, communities and social media.

Form background