Lucidya automatically detects and filters spam from X data before it reaches analysis, ensuring that insights reflect genuine customer conversations rather than low-quality or irrelevant content. Coverage may expand to additional data sources in future updates.
What gets filtered
Lucidya filters several categories of content that are not relevant to customer analysis:
Inappropriate ads
Unsolicited promotional content that appears within monitored conversationsPhishing and harmful content
Posts containing malicious links, deceptive messaging, or content designed to mislead or harmExplicit content
Sexually inappropriate or publicly explicit material unrelated to customer discussionsBot and automated posts
Content generated by automated accounts rather than real users
All identified content is tagged as spam and removed from analysis results.
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
Filtering behavior may vary depending on the data source
Additional filtering options
For more control, teams can apply additional filters to refine their data beyond automatic spam detection:
User-based filters
Hashtags
Keywords
Available filtering options may vary depending on the source being analyzed. Spam filtering also ensures that alerts are not triggered by spam activity, reducing false notifications and allowing teams to focus on meaningful customer insights.