A Generic Guide to Image Moderation
A Generic Guide to Image Moderation
April 16, 2019

In the 21st century, images are replacing textual conversations on social media platforms. Studies show that around 350 million images are uploaded on Facebook every day; 95 million pictures and videos shared on Instagram.

Images are a form of user-generated content (UGC), and they can be explicit at times. On the other hand, the incidences of trolls, cyber bullies and spam are on the rise. All of this can cause irreparable loss to your brand’s reputation in the digital community. Besides, you may also get into legal trouble.

Businesses tackle the problems of profanity through image moderation. This process checks a given set of images for duplication, nudity and other parameters before they are visible publicly. This blog will provide you with a general idea on the image moderation framework.

Types of Image Moderation Solutions

There are two types of image moderation solutions that are currently offered in the market. They are – live moderation and automated moderation.

Live Moderation

In live moderation of images, trained human moderators sort through the images and flag the inappropriate ones according to predefined criteria. eUnagi provides its clients with a comprehensive Web Content Certification System. It mainly consists of a panel of experts who monitor your content 24/7. Controversial images are further evaluated by a chief moderator so that you can stay rest assured about the quality of work done.

Automated Moderation Using Artificial Intelligence (AI)

Technologies like AI and Machine Learning (ML) can process an enormous number of images for you with pinpoint accuracy.  APIs can be readily integrated with your websites or social media platforms to get a real-time response. They detect objectionable content (images) that are known as “not safe for work” (NSFW) content. Any content that cannot be classified accurately is redirected to the human moderators for a final opinion.

eUnagi works closely with tech giants like Google and Microsoft to develop APIs that help you in getting started with the process instantly. Businesses can also get a customized solution that combines the capabilities of live and automated image moderation solutions.

How API Helps in Image Moderation

API stands for Application Program Interface (API). It is a set of tools for building software applications and specifies how software components should interact with each other in order to deliver the desired output.

Image moderation APIs are integrated with client hardware and software components Whenever the client raises a query (input) through the user interface, it results in an API call. It communicates with the moderation platform and displays the output in the form of a numerical score (in terms of percentage). The types of scores are as follows:

  1. True Positive (TP): The photo is safe to use.
  2. False Positive (FP): The photo is explicit, but the API has incorrectly classified it as safe.
  3. False Negative (FN): If a photo is safe to use, but the API was not able to detect the same.
  4. True Negative (TN): If a photo is explicit and the API has classified it correctly.

Most of the APIs that are available in the market have a good precision rate. However, contextual errors reduce their efficiency to some extent. Hence, you need to back them up with human moderators.

Summing it up

Technology is simplifying UGC moderation for various industries in the digital age. Businesses are taking the plunge to implement content moderation tools and safeguard their online reputation. If you are planning to do the same for your business then get in touch with us at [email protected]. You may also call our experts on +1 631-897-7276 and they will be happy to help you.

Category:

Content Moderation

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