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Spam Detection in Lucidya: What Gets Filtered and What Doesn't
A reference guide to how Lucidya automatically filters spam from collected data, including what gets removed, what may still appear, and how to apply additional manual filters.
Lucidya automatically detects and filters spam from collected data before it reaches analysis, ensuring that insights reflect genuine customer conversations rather than low-quality or irrelevant content. Spam filtering currently applies to X data, with coverage potentially expanding to additional data sources in future updates.
What Gets Filtered
The platform filters four categories of content that are not relevant to customer analysis.
- Inappropriate ads: unsolicited promotional content that appears within monitored conversations.
- Phishing and harmful content: posts containing malicious links, deceptive messaging, or content designed to mislead or harm.
- Explicit content: sexually inappropriate or explicit material unrelated to customer discussions.
- Bot and automated posts: content generated by automated accounts rather than real users.
All identified content is tagged as spam and removed from analysis results. Spam filtering also ensures that alerts are not triggered by spam activity, reducing false notifications and allowing teams to focus on meaningful insights.
What May Still Appear in Results
Not all low-quality or unwanted content is automatically removed. Content that does not clearly fall into a defined spam category may still appear. Some borderline or ambiguous cases are intentionally left in results to avoid filtering out legitimate content. Filtering behavior may vary depending on the data source.
Additional Filtering Options
For more control beyond automatic spam detection, teams can apply manual filters to refine their data.
- User-based filters: exclude or include specific accounts.
- Hashtag filters: exclude content containing specific hashtags.
- Keyword filters: exclude content containing specific terms (configured as spam keywords during monitor setup).
Available filtering options may vary depending on the data source being analyzed. For Social Listening monitor setup, including spam keyword configuration, see How to Create a Monitor in Social Listening.
For further assistance contact Lucidya Support.
Frequently asked questions
Automatic spam filtering currently applies to X data. Coverage may expand to additional data sources in future updates.
The platform is designed to minimize false positives. Borderline or ambiguous cases are intentionally left in results rather than filtered, to avoid removing legitimate customer conversations.
Yes. Spam content is excluded from alert calculations, so alerts are not triggered by spam activity. This reduces false notifications and ensures alerts reflect genuine conversation patterns.
Yes. When setting up a monitor in Social Listening, you can add spam keywords to exclude content containing specific terms from your results. See How to Create a Monitor in Social Listening for configuration steps.
No. Content identified as spam is tagged and removed from analysis results. It does not appear in dashboards, reports, or alert calculations.