AI Spam Detection in Listening

Spam makes it challenging to stay ahead of fast-moving trends or accurately assess sentiment around your brand, industry, or event.

AI Spam Detection for Social Listening helps you eliminate message clutter and quickly identify stronger signals.

What this means for you:

• Less Clutter: automatically identify and filter out bot-generated messages, scams, and unsolicited promotions so you can focus on real interactions.
• More Signal: Zero in on the insights that matter most to get a true view of your audience sentiment and brand health.

How it works

The AI Spam Detection model evaluates every message in Listening Topics.

Key Benefits:

• Effortless filtering: A new spam filter is automatically added to all Listening Topics, helping you quickly remove message clutter and zoom in on the insights that matter.
• Easy identification: Messages classified as spam are tagged with a "Spam" token.
• Full control: You can manually override the spam classification by clicking the token or using the message overflow menu.

Best Practice:

Leverage the Spam filter in your Listening Topics to remove low-priority messages and focus on high-value conversations.

Click on More Filters to leverage the Spam Classification filter within Listening Topic Insights:

You can filter your view using one of the four options below:

• All Spam Classifications: Selects every message in the Topic, regardless of its spam status.
• Spam: Displays only the messages identified as spam.
• Not Spam: Displays only the messages identified as legitimate.
• Unclassified: Displays messages that the system could not identify. You can review these manually to mark them as "Spam" or "Not Spam." 

You can easily filter your topic to see only messages marked as spam, allowing you to review the AI's classification and make manual adjustments as needed:

FAQs

What is the definition of Spam in AI Spam Detection for Listening?

Messages with intent to mislead, promote, sell or resell, solicit, scam, universally useless, or definitively sent from a bot — often repetitive, low-value, or in violation of platform norms. Includes messages made up entirely of @mentions / hashtags or primarily of unrelated @mentions with no clear connection.

What languages are supported?

Our AI Spam Detection feature is currently optimized for English-language content. To ensure accuracy, messages in other languages are routed to “Unclassified” so you can review them manually.