Advancing

We research, analyze, and develop cutting-edge tools to protect digital spaces and ensure responsible content moderation across platforms.

Our Research

Understanding the Evolving Landscape of Content Moderation

Sentrium conducts in-depth research into the complex world of content moderation. We investigate the methods, challenges, and ethical considerations surrounding the identification and removal of inappropriate content across various online platforms.

9

Platforms

215

Reports Submitted

1

Partners

176

Pieces of Content Removed

Our Methodology

Research Methods

Deep Dive into Online Content

We analyze vast datasets of online content, employing advanced techniques to identify patterns, trends, and emerging threats. This includes examining text, images, and videos for harmful content such as hate speech, misinformation, offensive language, extremism, and child exploitation.

Evaluating Platform Policies

We conduct comprehensive audits of online platforms, assessing their content moderation policies, enforcement mechanisms, and transparency practices. Our goal is to understand how platforms identify, address, and mitigate the spread of harmful content.

AI for Content Moderation

We are at the forefront of researching and developing AI-powered solutions for content moderation. Our work explores the potential of machine learning (ML) algorithms, natural language processing (NLP), and computer vision (CV) to accurately and efficiently identify and mitigate harmful content while minimizing bias.

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