The Importance of AI in Content Moderation

In the age of digital content, ensuring that user-generated content is appropriate and authentic is a top priority for businesses. With the rise of social media and online reviews, consumers expect to see up-to-date information that reflects their voices. However, manually moderating content can be time-consuming and inefficient. This is where AI and machine learning come into play.

The Manual Approach

If we took a manual approach to content moderation, human moderators would read through each piece of content to determine if it meets the client’s preferences. While this method ensures that the content is appropriate and authentic, it can take up to 20 hours on average before a review is on site. In today’s fast-paced digital world, consumers value recency and expect reviews to be available at the speed of the internet.

The Role of Machine Learning

To address this challenge, businesses can turn to machine learning, a field of AI that infers rules from existing data. With over 800 million unique review content historically and growing by 9 million each month, businesses like Bizarre Voice can leverage this data to automate the content moderation process.

Training the Model

By leveraging existing moderators to label data for model training, data scientists can use this labeled data to train new models that meet clients’ use cases. These models are deployed to a machine learning inference system that approves or rejects new content collected for clients. Client configurations are shared with the machine learning system to ensure that the content is moderated to meet each client’s individual use case.

Keeping People in Charge

One of the guiding principles in using AI for content moderation is to keep people in charge. Clients can customize what type of content they consider appropriate, allowing them to have control over the moderation process. This approach allows user-generated content to be on site within seconds, a significant improvement compared to the hours it took with human moderators.

Ensuring AI Behavior

However, with automation comes great risk. Businesses must ensure that AI is behaving as it should to maintain trust with consumers. Regular monitoring and testing of the AI system are essential to ensure that content moderation is accurate and in compliance with client preferences.

In Conclusion

In conclusion, AI and machine learning play a crucial role in content moderation for businesses like Bizarre Voice. By automating the moderation process, businesses can provide consumers with up-to-date and authentic content while also allowing clients to customize their moderation preferences. As technology continues to advance, the role of AI in content moderation will only become more important in the digital landscape.