With social media platforms like YouTube and Facebook seeing a humongous amount of user-generated content every minute, it becomes increasingly important for businesses to monitor this content and apply their moderation policies to ensure it meets their standards.
AI-powered image annotation and recognition tools like Imagga offer a highly viable option for monitoring images, videos and live streams. These solutions identify inappropriate imagery and have various options for controlling threshold levels and types of sensitive visuals.
Content moderation is a crucial part of ensuring that user-generated content on an online platform is appropriate. It also helps maintain brand reputation and boosts customer loyalty. In addition, it helps a company achieve higher search engine rankings.
In the world of social media, there is no end to the deluge of images and videos that users create on a daily basis. Managing this content would be a full-time job for even the most resourceful of human moderators, but technology can help make the task more manageable and cost-effective.
To tackle this massive amount of data, companies are increasingly investing in AI-based and computer-vision-enabled tools to flag and filter inappropriate content. These algorithms work in conjunction with human moderation staff to identify and review obscene, inappropriate, or illegal content.
These automated processes can save businesses time and money by detecting content with high accuracy, quickly identifying the problem, and determining whether the content violates a business’s terms of service. In addition, these tools can reduce the number of hours that a human moderator has to spend on moderation, allowing them to focus on other important tasks.
However, it is important to understand that the effectiveness of a content moderation solution depends on a wide range of factors, including the quality and variety of the input data that is used. Using low-quality, unrepresentative or incomplete data can lead to false negatives and false positives.
In addition, the accuracy of an algorithm relies on a company’s ability to train its models and assess the results of these models. A lack of accuracy can result in costly mistakes that a human moderator would never have to deal with.
One of the biggest challenges that companies face with video moderation is the sheer volume of content that is created by users every day. Considering that the World Economic Forum estimates that humans will produce 463 exabytes of data per day by 2025, it is no wonder that companies are turning to automation to ensure that their content is moderated in a timely and cost-effective manner.
The costs of state-specific content moderation rules are also significant, creating legal risks for platforms in many states and potentially discouraging them from offering their services to residents of that state. For example, Oklahoma’s SB 383, which requires that an online platform appeal moderation decisions in writing, could impose a compliance cost of over $0.66 million annually.
Scalability is a key aspect of video content moderation technology. It helps reduce the workload of content moderators and makes the moderation process faster. It also ensures that no one is exposed to unsuitable materials.
Scalable systems can handle increased demands and change quickly to accommodate them without breaking performance or causing disruptions. Using scalable software allows you to increase the number of users, files and other resources as needed to meet customer demand.
This is essential for companies that need to handle a large volume of data and work with many users at once. The scalability of a platform is especially important when it comes to video moderation because videos are extremely large and can be challenging to process.
Fortunately, video content moderation is now more easily attainable than ever before thanks to advanced AI technology. Using AI-powered solutions like Mobius Labs, for example, you can easily detect harmful content and flag videos with language that violates terms of service. This helps prevent user and company reputation damage.
For more complex situations, specialized algorithms can analyze the entire video for specific language or other content that may be considered inappropriate. For instance, if there is an image or video of violence, the moderation software can automatically flag it as dangerous and remove it from your site or app.
With a growing number of online platforms, there is a need for a streamlined video moderation system. This is particularly true for social media and content sharing platforms that have a huge number of users who share different types of content.
It is also necessary to take care of the moderators’ health and safety when handling content that can be potentially dangerous. Moreover, it can be extremely stressful for these individuals to review and moderate large amounts of videos on a regular basis.
A scalable content moderation system can provide you with a way to manage the risk of your employees’ physical, mental and psychological well-being while providing them with the ability to do their jobs. It can also help you to comply with regulatory requirements while reducing costs.
With an explosion in user-generated content, online platforms are having to proactively monitor for inappropriate and harmful postings. This can result in reputational damage to brands, and a variety of other negative consequences.
In order to protect its users, a platform must implement a robust and scalable moderation strategy. This involves a complex screening process for textual, visual and even live streaming content.
This is especially true for video, which is becoming increasingly popular and generates a lot of data in real time. This is why it is necessary to deploy AI-based moderation tools that can effectively screen videos, particularly large ones.
The use of AI-based video content moderation technology can help a platform maintain its image and brand identity while protecting its audience. This can be accomplished by incorporating several kinds of AI-based tools, including computer vision and voice analysis.
For instance, AI techniques can recognize offensive or abusive words and objects in unstructured data, such as images. Moreover, AI can also identify suggestive or inappropriate content.
Another type of AI-based tool can detect deepfakes, which are fictional characters and claims that appear to be real. These tools are particularly useful when it comes to detecting manipulated images and videos, which can be a threat to privacy and dignity rights.
Finally, AI-based moderation can detect pornography and other racy content. This is because these types of videos can have a negative impact on people’s mental health, which is why it is important to employ a moderation system that helps keep this type of content away from websites and pages.
Having this kind of technology can also ensure the safety and security of employees who are responsible for monitoring the web. This is because exposure to potentially insensitive content can have a negative impact on their physical and mental health, which is why it is crucial to hire a service provider that provides proper care for moderators’ well-being.
The availability of a video moderation solution is essential for any company looking to maintain its image and brand identity on the internet. This can be achieved by ensuring that all of the content posted on the site complies with their company’s guidelines and is free from illegal or inappropriate content.
There are several compliance requirements that must be met before video content moderation technology can be deployed. These requirements include ensuring that the system is secure and that employees are trained on what they need to do in order to comply with regulations.
Content moderation technology provides a way for companies to control the information that their audiences see on their website. This lets them make sure that the information is relevant to their brand and its values.
It also helps ensure that the content is free of inappropriate content that may be harmful to their audience and reputation. The practice involves using algorithms to review and create guidelines for items posted on online forums, social media sites, or other user-generated content websites.
This process can help prevent a company from losing valuable business because of content that does not align with its brand guidelines. Moreover, it can reduce the risk of lawsuits and other legal disputes.
In addition, content moderation technology can help prevent employees from distributing content that violates the company’s policy. For example, a company could require that employees only upload and share videos related to their specific jobs. This can help keep the library clean and organized, and it can prevent unauthorized access to videos that are not appropriate for the organization.
The content moderation process is an essential tool for organizations that use video to distribute knowledge. It ensures that employees do not add unnecessary or unrelated information to the video library, which can be a source of frustration for users.
Moreover, the content moderation process can help prevent the dissemination of illegal, obscene, or pornographic content. It can also help ensure that employees do not publish content that is sexist, racist, or misogynistic.
Another benefit of content moderation is that it saves time and resources, allowing managers to focus on more important tasks. Rather than spending hours on a manual moderation workflow, an AI-powered solution can automatically analyze text and images for problematic keywords in a fraction of the time it would take humans.
Automated content moderation solutions are more accurate than human moderators, ensuring that users have a safe, positive environment to view and share content. They also help boost engagement, increase search engine ranking and generate more revenue in a fraction of the time and effort that it would take a person to perform the same task manually.