Social media platforms are an integral part of modern communication and have become a crucial platform for businesses and individuals alike. However, with the explosion of social media usage, the challenges of managing content have grown exponentially. In response, social media platforms have developed different strategies for content moderation. This has led to the evolution of moderation technology through three waves.
Wave one - human moderation
The first wave of social media moderation technology involved human moderators manually monitoring content via the platform's interface. This approach was labor-intensive and time-consuming, with moderators tasked with reviewing every piece of content uploaded to the platform. However, this approach proved to be effective in its ability to remove inappropriate content from the platform, including spam and hate speech.
Wave two - keyword moderation
The second wave of social media moderation technology was the introduction of keyword moderation technology. This technology was designed to automatically filter out specific words or phrases deemed inappropriate or offensive. Although it was an improvement over manual moderation, it had its limitations. For instance, keyword moderation struggled to differentiate between different contexts and could flag innocent posts.
Wave 3 - AI-enabled moderation
The third wave of social media moderation technology is AI-enabled moderation technology. This technology uses artificial intelligence to analyse and detect harmful content. AI-enabled moderation is a game-changer as it can detect and flag inappropriate content in real-time. It can also identify complex patterns and trends, enabling it to detect previously unknown harmful behaviour.
How Arwen has changed the game
Arwen's style of AI-enabled moderation is superior to previous solutions because it accurately detects and removes inappropriate content in real-time. It also detects the tone and context of a post, allowing it to identify sarcasm, irony, or humour that keyword moderation technologies cannot. This reduces the risk of removing posts that do not violate the platform's policies, known as "false positives", making the moderation process more accurate.
Moreover, AI-enabled moderation technology can learn and adapt based on its past experiences, improving accuracy over time. This means that it can detect and remove new types of inappropriate content that may emerge on the platform.
As social media platforms continue to grow, the importance of effective moderation technology cannot be overstated. Arwen's AI-enabled moderation technology is a crucial step in making social media a safer, more inclusive and more enjoyable platform for everyone.