Freedom2hear acts as your emotionally intelligent content filter, protecting your people from hate.
Exposure to online hate and toxicity can lead to stress, anxiety, and long-term emotional harm.
Toxic environments discourage meaningful interactions, leading to decreased engagement and community participation.
Hate and toxicity silence constructive discussions, making people less likely to express themselves freely.
A toxic online presence can deter partnerships, sponsorships, and customer trust, limiting growth potential.
Unchecked toxicity increases the risk of PR crises, reputational damage, and public backlash.
Hate-driven environments can lead to lost revenue, advertiser withdrawal, and costly legal or compliance issues.
Failing to comply with legal requirements in moderation practices can lead to hefty fines and legal repercussions.
Unlike traditional keyword-based tools, our proprietary emotion AI technology analyses the context and emotion behind online communications. This enables:
Emotion AI is more accurate than keyword moderation because it analyses the context and sentiment behind interactions, capturing the true intent and emotional tone beyond simple word matching.
Our solution is constantly evolving to adapt to changing language, cultural nuances, and emerging trends, ensuring it remains effective and accurate in moderating content over time.
Freedom2hear moderates across text, emojis, images, audio, and video. From real-time moderation to advanced object recognition, our tools empower you to maintain a safe, inclusive, and engaging digital environment.
Freedom2hear is perfect for anyone responsible for fostering a safe and compliant digital environment. This solution has been designed to give you peace of mind that your people are safe and engaging in healthy communication.
Moderate across social media channels, forums, and your community platforms seamlessly without requiring passwords or confidential data.
Monitor toxicity levels in real time, filter by specific categories like racism or threats, and adjust settings to fit your audience’s needs.
Gain actionable insights into toxicity trends, content performance metrics, and user behaviour patterns to inform strategies.
Detect and moderate harmful content in multiple languages for global audiences.
Handle billions of messages daily with speed and accuracy.
The solution can detect toxicity and threats across a variety of content formats and types.
We cover text moderation across 100+ languages.
Our API solution offers unparalleled flexibility, allowing you to integrate our cutting-edge content moderation technology into your proprietary applications or workflows. Whether you’re managing an online community, a gaming platform, or a customer support system, our API adapts to your unique needs.
for harmful content in real time.
for niche forums or industry-specific platforms.
ensuring compliance and brand safety.
The blog post outlines the challenges in benchmarking emotional intelligence in AI systems, highlighting issues such as subjective scene settings, ambiguous labelling, and hidden assumptions that often lead to inconsistent evaluations. It calls for an interdisciplinary, nuanced approach - one that not only measures outcomes but also examines the reasoning behind responses, and their consistency - to better capture the complexities of human emotion in real-life scenarios.
Mark Zuckerberg’s recent announcement on changes to Meta’s content moderation and fact-checking policies has been nothing short of a seismic shift. Meta, a company that has alternated between being a bastion of free expression and a staunch enforcer of digital boundaries, seems to have embraced its inner time-traveller, careening between extremes like a Delorean navigating temporal paradoxes. While this move is positioned as an evolution, it raises more questions than answers. Who wins, who loses, and what can we learn from platforms like Reddit? Let’s unpack.
In 2024, AI is advancing industries like healthcare, space, and education, accelerating drug development, predicting protein structures, and personalising learning. It's also improving customer service, manufacturing, and tackling environmental challenges, highlighting its transformative potential.
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