Hybrid Content Moderation : Combining AI and Human

With more than 4.66 billion global Internet users and 4.48 billion social media accounts, content production is at an all-time high.

All Internet users generate an enormous volume of text, images, and video content every day. The global content size amounts to a whopping 1.14 trillion megabytes!

As content production increases, so do the frequency of toxic posts. Keeping the internet and UGC platforms pure and healthy is a challenge.

However, with the emergence and consistent evolution of content moderation services, screening harmful, irrelevant, and copyrighted content from UGC platforms has become a cakewalk.

It’s pretty impressive to watch the UGC moderation horizon rapidly transitioning and mushrooming from human-driven to AI-based and, now, led by a hybrid scheme.

Hybrid Moderation Model

Content Moderation Services

Essentially, content moderation is the screening of UGC under an editorial influence to maintain the authenticity and integrity of the in-focus platform. It involves identifying toxic, copyrighted, and redundant posts and taking them down to enhance user experience with the platform.

Content moderators are either humans or even robots. These teams work 24/7 to scan user-generated content as they get released on a specific platform. However, both have some limitations resulting in the need for a hybrid model.

The Significance of Human Moderation

Content moderation requires viewing and rating each content individually as users release them on the platforms. Who performs such tasks? Human moderators are the professionals who manage these operations for various UGC platforms.

Human moderators are responsible for maintaining the integrity of UGC platforms, ensuring the authenticity of posts, and keeping scamming away from users. They remain available round-the-clock to scan every post and report the toxic ones in time.

However, posting frequency is dramatically hiking. So, there are high chances that Human Moderators miss out on some impure content at any point in time. Also, human moderators are expensive to maintain. Besides, they have higher chances of getting traumatized due to frequent exposure to harmful content on the Internet.

In other words, the industry needs more efficient moderators to cover the growing content volumes, having no sensitivity nerves and with better live moderation capabilities.

Augmenting the Content Moderation Landscape with AI

Human moderators are becoming incapable of detecting all harmful content on the radar due to the growing volumes of UGC. Understandably, the need for more advanced moderators stands more vital than ever.

Right here, AI moderation takes center stage! This technology-driven moderation has higher efficiency in scanning content volumes and identifying toxic posts on UGC platforms.

Besides, the AI moderators can withstand prolonged hours of dedicated text, video, and image moderation and produce better outcomes for a specific platform. However, AI moderators, too, have some limitations.

Here, Human Moderators perform way better than robots by leveraging their natural intelligence. Despite having higher efficiency, the AI moderators might miss marking some disguised harmful content. So, the media and text moderation paradigm needed a superior model.

Hybrid Moderation Model = AI + Human Moderation

Neither human moderation is fully efficient, nor is Artificial intelligence. However, the combination of both these models can generate quality process outcomes.

Hybrid Content Moderation

Infoesearch’s Hybrid Moderation Model is the future of content moderation. It has the following unmatched advantages for UGC platforms:

  • Our hybrid moderation model encompasses the continuous algorithmic filtering capability of AI moderators.
  • It comprises the human moderators’ power of disguised content identification.
  • Since the model is a midway of AI and human moderators, it is inexpensive to the UGC platforms.
  • The requirement of psychological counselors for human moderators is a thing. However, being a robot, AI moderators do not get traumatized and require such external assistance.
  • Our hybrid moderation model can take up more UGC at a time compared to the conventional manual moderation scheme.
  • The hybrid model from Infoesearch follows a two-step process before flagging a post as toxic. It goes through verification from human panelists to ensure the toxicity of reported content.

UGC platforms were in dire need of a moderation model having the advantages of AI and human moderators. Infoesearch is the leading content moderation company with a research-driven Hybrid model to fine-tune the community moderation game for all media and users.



Source: techjury.net ; statista.com

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