It’s challenging to keep up with content moderation because of the enormous amounts of user-generated content that are constantly posted online. Additionally, manual moderation is becoming less and less desirable due to the dangers of subjecting human moderators to harmful content. Automated content moderation can help in this situation. The modern operation of digital platforms depends on content moderation. It gives online users a much-needed safety net that guards them against harmful and illegal content.
What Is Automated Content Moderation?
Automated content moderation involves the use of technology to expedite the complete removal of offensive and harmful content and to eliminate the tiresome process of manually reviewing each and every posting.
Despite being called “automated,” it typically involves a combination of algorithms and a final human review. Because of this, it is occasionally referred to as a semi-automated. The heavy lifting is done by technology, and human moderator input is only required in specific circumstances or after an automatic prescreening.
AI-powered algorithms are used to automate the content moderation process. They recognize inappropriate content based on information that has already been provided.
The content is filtered by the moderation platform by identifying inappropriate, sexually explicit, or harmful elements in images, text, videos, and even live streams. Depending on the moderation thresholds, it might ask for human input in situations where the AI is unable to make a decision.
Types of Automated Content Moderation
Videos
Video moderation is one of the most difficult automated content moderation procedures. To ensure compliance, the entire video file must be examined. While algorithms examine the audio components, the computer recognizes the harmful elements, or the visual components. This moderation is also applicable to live streaming videos, where the screening is carried out immediately.
Text
Natural language processing (NLP) algorithms are used to recognize text content because they comprehend both the meaning and emotional impact of the text. While classifying the content for sentiment analysis, it also determines the tone of the content. But it’s also possible to predict whether texts will adhere to the moderation policies by using databases that are already built-in. The NLP algorithms filter out content that violates copyright, contains hate speech, harassment, trolling, spam, scams, bullying, and other issues.
Visuals
Automated systems can recognize dangerous and vulnerable content and promptly remove it using object detection mechanisms. This moderation process understands the entire scene by using algorithms to recognize unwanted elements and their positions. Physical abuse, verbal abuse, nudity, mass fights, drugs, obscene gestures, alcohol, weapons, self-harm, and others are examples of inappropriate visuals.
Benefits of Automated Content Moderation
The use of automated moderation has many benefits. The way these processes are handled on platforms with user-generated content has essentially been revolutionized by new technology.
Improved understanding of user
We can better identify user patterns by using automated content moderation for user-generated content. This information is extremely useful for high-volume campaigns in which moderators label content based on its nature and properties. The group also makes use of this data to comprehend customer perception and purchasing patterns. As a result, content is published online while the data is used to derive useful insights.
Faster moderation technique
The process of content moderation has emerged as a critical component of digital platforms today. Users today don’t want to wait around for longer periods of time to post content to social media because it might lose its relevance. Automation is renowned for its efficiency in making things happen quickly and easily. The algorithm has the ability to remove content from the platform right away to protect users. Nevertheless, the questionable content is sent to the human content moderators for evaluation.
Safeguarding human moderators
For human moderators, content moderation is hectic and difficult. They must read a lot of graphic and disturbing material that has a profound effect on people’s minds. Automated content moderation reduces the risk of disturbing content being viewed by humans by automatically screening the content. They streamline the entire process for the moderators and the digital platforms.
Increases brand awareness
On digital platforms, user-generated content (UGC) is regarded as one of the most effective methods for brand promotion. You are facilitating easy communication with your customers by using the appropriate tools and software for content moderation. They can review the goods and services without having to worry about being accused of being malicious, and they can also take down any content that damages the reputation of the brand.
A More Comprehensive Review
Online businesses prioritize speed and scalability for growth, which calls for automated content moderation to effectively manage their massive amounts of user-generated content. Because it takes a lot of time and gets stressful for the human moderators, manual moderation is occasionally not practical for reviewing a large number of comments. Therefore, businesses that have a digital presence maintain their reputation online by implementing automated tools and technologies that assist in faster and more accurate content moderation.
Conclusion
If implemented properly, automated content moderation can work wonders alongside manual moderation. AI-enabled systems effectively analyze inappropriate content using their built-in knowledge databases and sentiment analysis. If you’re searching for reasonably priced content moderation services, EmpireOne Contact Center can assist you in accurately assessing your digital platform while upholding your brand image. Bring us on board to consistently deliver a secure and satisfying online user experience.
