User Generated Content Moderation Software

User generated content (UGC) is a powerful marketing machine that allows your users to create and share their own stories about your brand or products. It’s also a great way to boost your SEO.

While UGC provides numerous benefits to your brand, it also presents risks that you can’t afford to ignore. Luckily, there are some simple ways to mitigate these risks and protect your e-community from inappropriate content.

Pre-Moderation

Pre-moderation is a popular moderation option for online communities that require strict content compliance measures. It ensures that all content is checked for libelous or offensive content before it’s displayed publicly.

Typically, this is done by implementing a rating system where members of the community can vote on submissions to determine whether they are in line with community expectations or within the rules of use. This democracy-like method enables control of comments and forum posts to mostly reside within the community, usually with guidance from senior moderators.

Reactive moderation is another common moderation technique that relyses on users to flag content they think violates platform rules or is undesirable. Often, platforms attach reporting buttons to user-generated content for this purpose, which lets members report inappropriate content directly to the platform’s administration team.

Despite the growing popularity of reactive moderation, it is important to remember that not all user generated content is suited for this type of moderation. For example, localized language depicted in user-generated content can be considered acceptable in some regions but not others.

Post-Moderation

User generated content moderation software is a vital tool for online platforms that rely on user-generated content. It can help to protect brands and online communities, by flagging inappropriate and offensive content.

Whether you’re moderating text or images, it’s crucial to set thresholds for moderation, and define what types of content need to be checked, flagged, and deleted. It also requires a thorough understanding of platform-specific rules and regulations.

A common method of user-generated content moderation is called manual pre-moderation, whereby community members submit content to be reviewed by a moderator before it goes live on the site. This approach is slow and lacks the instant gratification of immediate contribution, but it’s highly effective at keeping the site or platform clean.

Post-moderation, on the other hand, involves reviewing content after it’s posted, and removing it from the community if it violates the guidelines of the platform. It’s often paired with automated moderation to improve efficiency and achieve the best results.

Hybrid Moderation

User generated content is a large and growing segment of digital marketing. It includes text (like comments, reviews, ratings, podcasts, and testimonials), photos, videos, audio, links, and documents.

The problem is that UGC can be damaging to brands and platforms. It can include offensive and inflammatory posts, copyrighted content, and other harmful or illegal content.

Automated moderation tools can flag and remove inappropriate user-generated content. However, these tools cannot replace the judgment and decision-making of a human moderator.

A popular trend in moderation is a hybrid moderation model, which incorporates elements of both human and automated moderation.

Safety Operations Center is an AI-powered moderation platform that combines contextual AI to analyze toxic content in real-time and a robust business rule engine for fully-automated moderation where possible, with routing to moderators for deeper analysis when needed.

AI Moderation

As the number of user generated content (UGC) posts on platforms has grown, so has the need to have scalable UGC moderation solutions. This requires assembling a large team of trained human moderators and a robust automated content moderation tool that scales to handle the increased volume of UGC and its complexities.

AI moderation helps reduce the amount of content that needs to be reviewed by a team of human moderators and enables brands to monitor and control their UGC more effectively. It can analyze images, text, videos and audio for the presence of inappropriate or harmful content.

The main challenge of building a speedy and accurate AI model for content moderation is the sheer volume of data it must process. This entails the need to recognize dozens of languages, plus social contexts from different cultures, as well as regularly update data for a variety of linguistic categories and content types.

A hybrid system of AI and human moderators is the best way to ensure you have a robust moderation solution for your brand. The AI component will help speed up the moderation process, while human moderators will maintain accuracy and sound judgment when deciding whether a piece of content is inappropriate or not.