Want to understand how spam detection works in Lucidya and how it affects the quality of your data? Here are answers to the most common questions.
What is the purpose of spam detection in Lucidya?
The purpose is to ensure that analysis results reflect genuine customer conversations rather than low-quality or irrelevant content. Spam is filtered automatically before data reaches the analysis stage.
What content categories does Lucidya filter automatically?
The platform filters four main categories: inappropriate ads, phishing and harmful content, explicit content, and bot or automated posts. All identified content is tagged and removed from analysis results.
Does automatic filtering remove all unwanted content?
No. Content that does not clearly fall into a defined spam category may still appear in results. Some borderline or ambiguous cases are intentionally left in, and filtering behavior may vary depending on the data source.
Which data sources currently support spam filtering?
Automatic filtering currently applies to X data, with coverage potentially expanding to additional sources in future updates.
How can I refine my data filtering beyond automatic spam detection?
Additional filters can be applied, including user-based filters, hashtags, and keywords. Available options may vary depending on the source being analyzed.
Have more questions? Browse the Help Center articles or reach out to our support team for further assistance.