User-generated content (UGC) includes brand-specific content customers post on social media platforms. It includes all types of text and media content, including audio files posted on relevant platforms for purposes like marketing, promotion, support, feedback, experiences, etc.
Given the ubiquitous presence of user-generated content (UGC) on the web, content moderation is essential. UGC can make a brand look authentic, trustworthy, and adaptable. It can help in increasing the number of conversions and help build brand loyalty.
However, brands also have negligible control over what users say about their brand on the web. Hence, content moderation with AI is one of the ways to monitor the content posted online about a specific brand. Here’s all you need to know about content moderation.
The Challenge of Moderating UGC
One of the biggest challenges with moderating UGC is the sheer volume of content that requires moderation. On average, 500 million tweets are posted daily on Twitter (Now X), and millions of posts and comments are published on platforms like LinkedIn, Facebook, and Instagram. Keeping an eye on every piece of content specific to your brand is virtually impossible for a human being.
Hence, manual moderation has a limited scope. Plus, in cases where urgent reaction or mitigation is required, manual moderation won’t work. Another stream of challenges comes from the impact of UGC on the emotional well-being of the moderators.
At times, users post explicit content causing extreme stress to the individuals and leading to mental burnout. Moreover, in a globalized world, effective moderation requires a local content analysis approach, which is also a big challenge for individuals. Manual content moderation may have been possible a decade ago, but it’s not humanly possible today.
The Role of AI in Content Moderation
Where manual content moderation is a massive challenge, unmoderated content can expose individuals, brands, and any other entity to offensive content. Artificial Intelligence (AI) content moderation is an easy way out to help human moderators complete the moderation process with ease. Whether it’s a post mentioning your brand or a two-way interaction between individuals or groups, effective monitoring and moderation are required.
At the time of writing this post, OpenAI has unveiled plans to revolutionize the content moderation system with GPT-4 LLM. AI provides content moderation with the capability to interpret and adapt all sorts of content and content policies. Understanding these policies in real-time allows an AI model to filter out unreasonable content. With AI, humans won’t be explicitly exposed to harmful content; they can work at speed, scalability, and moderate live content as well.
[Also Read: 5 Types of Content Moderation and How to Scale Using AI?]
Moderating Various Content Types
Given the wide array of content posted online, how each type of content is moderated is different. We must use the requisite approaches and techniques to monitor and filter each content type. Let’s see the AI content moderation methods for text, images, video, and voice.
