Social media conversations move fast. For brands, media outlets, public figures, institutions, and creators, a single post can generate hundreds or even thousands of comments within minutes.

Some comments add value. Some challenge a point of view. Others cross the line into abuse, hate speech, threats, or harmful language.

The challenge is not simply removing negativity. It is knowing the difference.

That is why we are introducing Comments Moderation, a new product available within Analytics.Live.

Let people talk. Keep harm out.

Comments Moderation is designed to help organizations and public profiles maintain healthier Facebook and Instagram communities without silencing constructive conversation.

The product analyzes every comment, understands language, tone, and context, and can immediately act on content that does not meet the moderation standards defined by the client.

At the same time, the user remains fully informed and in control of every decision.

More than a traditional comment filter

Online language rarely follows a dictionary.

People communicate through slang, dialects, abbreviations, intentionally misspelled words, local expressions, and constantly changing phrases. This makes traditional keyword-only moderation increasingly limited.

Comments Moderation combines predefined moderation rules with AI-powered contextual analysis to understand more than individual words.

It can recognize the meaning and tone behind a comment and identify content such as:

• Hate speech
• Abusive or offensive language
• Threats
• Harmful expressions
• Calls for violence
• Other content that falls outside the client’s moderation standards

This allows the system to distinguish between harmful communication and legitimate criticism that should remain part of the conversation.

Every comment is analyzed

Comments Moderation is not only focused on problematic content.

Every comment is analyzed, including positive, neutral, critical, and harmful reactions.

This gives users a broader understanding of what is happening in their comment sections and how audiences are responding to their content.

Instead of seeing moderation only as the process of hiding unwanted comments, organizations can use the product to gain structured insight into audience reactions, sentiment, tone, and conversations around their profiles.

Moderation on your terms

Different communities require different moderation standards.

A media outlet covering politically sensitive topics may want to allow strong disagreement while removing hate speech and threats. A corporate brand may require a different standard for customer communication. A public figure managing thousands of reactions may need a stricter approach to harmful content.

Comments Moderation allows each client to define how strict or open the moderation should be.

The product adapts to the communication standards of the profile, not the other way around.

Immediate action, with complete transparency

When harmful content is identified, Comments Moderation can hide or delete it on the administrator’s behalf immediately after it is posted.

But automation does not mean losing visibility.

Every moderation decision includes information about what was detected, what action was taken, and why.

Users can clearly see whether a decision was triggered by a predefined rule or contextual AI analysis.

This creates a moderation process that is not only automated, but also transparent and understandable.

Full visibility. Final control.

All comments remain visible to the user through a centralized dashboard.

This includes comments that were:

• Allowed
• Hidden
• Deleted

Users can review activity for a selected period and maintain a complete overview of what is happening across their profiles.

Most importantly, the final decision always remains with the user.

Any automated decision can be overridden. A comment can be hidden, deleted, restored, or allowed manually whenever human judgment is needed.

AI supports the moderation process. It does not remove human control.

Built for every language

Social media conversations do not stop at language borders.

Comments Moderation works across languages and can understand local expressions, dialects, slang, abbreviations, and different forms of online communication.

This makes the product suitable for organizations managing local, regional, or international audiences without dividing their moderation workflow between separate solutions.

Locally hosted. Highly secure.

Managing social media profiles requires access to sensitive information, which makes security a fundamental part of the product.

Comments Moderation is locally hosted, providing a highly controlled environment for processing access, comments, and moderation information.

Client information is handled with maximum confidentiality and security, with strict controls designed to protect the data provided to the platform.

Built for different types of communities

Comments Moderation is designed for both high-volume profiles and organizations where comment volume may be lower, but every interaction carries reputational importance.

For public figures, politicians, creators, media outlets, and other high-volume communities, it reduces the need for teams to manually review thousands of reactions while helping harmful content get addressed quickly.

For businesses and corporations, it provides consistent moderation, reputation protection, audience insight, and greater control over customer-facing conversations.

The scale may be different, but the objective remains the same: healthier conversations and greater control.

A new layer of intelligence inside Analytics.Live

Comments Moderation expands the capabilities of Analytics.Live from monitoring and understanding public conversations to actively helping clients manage the conversations happening on their own social media profiles.

It brings together AI-powered analysis, automation, transparency, audience insight, and human control in one environment.

Because better social media communities are not created by removing every negative opinion.

They are created by protecting meaningful conversation from the content that destroys it.

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