Bodyguard is a mobile app that hides toxic content on social platforms

NelsonG · January 21, 2021

If you’re somewhat famous on various social networks, chances are you are exposed to hate speech in your replies or in your comments. French startup Bodyguard recently launched its app and service in English so that it can hide toxic content from your eyes. It has been available in French for a few years and the company has attracted 50,000 users so far.

“We have developed a technology that detects hate speech on the internet with a 90% to 95% accuracy and only 2% of false positive,” founder and CEO Charles Cohen told me.

The company has started with a mobile app that anyone can use. After you download the app and connect the app with your favorite social networks, you choose the level of moderation. There are several categories, such as insults, body shaming, moral harassment, sexual harassment, racism and homophobia. You can select whether it’s a low priority or a top priority for each category.

After that, you don’t have to open the app again. Bodyguard scans replies and comments from its servers and makes a decision whether something is OK. For instance, it can hide comments, mute users, block users, etc. When you open Instagram or Twitter again, it’s like those hateful comments never existed.

The app currently supports Twitter, YouTube, Instagram and Twitch. Unfortunately, it can’t process content on Snapchat and TikTok due to API limitations.

Behind the scenes, most moderation services rely heavily on machine learning or keyword-based moderation. Bodyguard has chosen a different approach. It algorithmically cleans up a comment and tries to analyze the content of a comment contextually. It can determine whether a comment is offensive to you, to a third-party person, to a group of persons, etc.

More recently, the startup has launched a B2B product. Other companies can use a Bodyguard-powered API to moderate comments in real-time on their social platforms or in their own apps. The company charges its customers using a traditional software-as-a-service approach.