The Growing Role Of AI In Content Moderation

Jan. 3, 2023, 10:51 p.m.
Blog Images

The rapid expansion that social media has experienced due to the significant growth of digital technologies is influential. According to 2022 HOOTSUITE RESEARCH findings, there are more than 4.62 active users on social media, who create, share and interact with content. With more user-generated content, human moderators are faced with an excessive volume of information daily, making it a challenge to manually moderate content. Exposing human moderators to distressing content makes moderating an unpleasant task. This is where AI-powered content moderation comes to play.

How can AI help with content moderation

Optimizing the content moderation process is possible with the help of AI. How you may ask? Well it's all about automatically analyzing and classifying suspected content under 7 categories: Violent content, Hate symbols, Gambling, Tobacco, Alcohol, Drugs, Normal image. While increasing the speed and the overall effectiveness of the moderation process.

Scalability and Speed

Could you imagine the daily amount of human generated data online? According to World Economic Forum estimations, By 2025 the amount of data produced by humans will be up to 463 exabytes. With such a massive quantity of produced content, human will hardly keep up with these amounts. AI, on the other hand can scale up data processing across multiple channels in real time. AI is capable of surpassing humans in terms of the size and volume of user-generated content it can analyze, detect and classify

Automation and Content Filtering

Knowing that the quantity of user-generated data is intense, manually moderating content is an inevitable challenge that needs scalable solutions. AI powered moderation can automatically analyze texts, images and videos for unwanted content. AI can also filter out content according to the use case and preventing it from being posted. Thereby, supporting human moderators mental health and helping platforms to keep a safe space for their users.

Less exposure to harmful content

Human moderators deal with disturbing content daily, and many times their moderating capabilities are questioned by users who believe that their decisions are biased. Several users of TikTok are using captions such as "I'm over 18 tiktok" or "fake body" to avoid their videos getting flagged and taken down. Human moderators are also exposed to a series of indecent and harmful content everyday that could have an impact on their mental state. Last year, a content moderator on TikTok has sued the social network and its parent company ByteDance for leaving her with post traumatic stress disorder because of having to watch a huge amount of strong videos. AI can support human moderators by filtering questionable content for human review, saving content moderation teams the time and effort of going through all the user-reported content and minimizing the exposure of humans to distressing material. AI can increase the productivity of human labor by facilitating the quicker, more accurate, and error-free management of online content.

Beewant's technology for content moderation and the importance of context

To combat the several challenges of content moderation, Beewant provides companies with adequate solutions to tackle a multitude of use cases. Using AI for content moderation is very complex and several variables should be taken into consideration. A moderation solution wouldn't do a simple classification or detection of unsafe and suspicious situations, it has to interpretate contexts and determine which category they fall in. Context understanding is a crucial step to ensure the performance of an AI moderation solution. Here is an example of what interpreting different contexts and flagging them accordingly.


Beewant's AI model has depicted the image on the left as an act of violence, while it depicted the image on the right as a normal image. While using AI for user generated content moderation it is crucial to look at the bigger picture in order to implement a very permissive and transparent content moderation policy.

Final Takeaway

As user-generated content continues to increase, businesses are faced with several challenges to keep up with the need to monitor the content before it goes live. One efficient answer to this expanding problem is AI-based content moderation. AI can safeguard moderators from objectionable content, enhance user and brand safety, and streamline operations by relieving human moderators of tedious and unpleasant jobs at various levels of content moderation.

Beewant helps ML teams to improve their models with better data. Contact an expert here.