Metadata/Facet Filtering

Metadata/Facet Filtering

Metadata/Facet Filtering



Metadata/Facet filtering utilizes information extracted from returned results to filter your data. Every result in DigitalStakeout has associated metadata. Some results contain the author's name or screen name, a geo tag, the data service provider (I.E.,Twitter, news, blogs), etc. This metadata is grouped and displayed in gray shaded fields below the result summary in the console. The items in the gray fields populate the Metadata/Facet filtering. Any changes in the selected monitor/folders or filtering parameters will update the items available for metadata/facet filtering. The metadata/facets are broken into sections along the left hand side of the screen in the Console, Chatter and Footprint. The metadata/facet sections are marked with a black background with white lettering. Selecting the section will expand and include the subcategories and selectable options. The items selected in the metadata/Facet filtering pane will auto populate in metadata/facet filter field located just below the Boolean filter field. Metadata/Facet filtering can be used separately or simultaneously with a Boolean filter and/or Word List filter.

Example:  From the console, select "Derived Fields" in the metadata/facet pane (on the left side of the screen) by clicking anywhere in the black box for that field. Scroll down to "Provider." The subcategories are listed in alphabetical order. Select the box to the left of "Twitter." Twitter will auto-populate into the metadata/facet filter field. Select the blue search button. Now, only posts provided by Twitter will be displayed.

 


    Need help with this?

    The DigitalStakeout team is happy to help! To request assistance, open a ticket .





      • Related Articles

      • Filtering Data Overview

        Filtering Data There are four filtering techniques to use in the DigitalStakeout product: Boolean, Facet/Metadata, Word Lists, and Intelligent Discovery. These can be used separately or simultaneously with one another. Boolean Filtering     The ...
      • Video: Scout NOT Facet Filter

        The following video will demonstrate how to create a NOT facet filter.
      • Boolean Filtering

        Boolean Filters (Basic) The Boolean Filter is a keyword filtering mechanism built by the user. The Boolean operators below are used to create a list of rules for the CONTENT and SUMMARY fields of a result. The Boolean Filter describes what must, what ...
      • Performing a Chatter Search (Article and Video)

        Chatter searches sample posts from social media and dark nets to curate intelligence on threat actor tactics, techniques, or procedures. There are several ways to obtain data from Chatter.  If you wish to learn more about specific search procedures, ...
      • Word List Filtering

        Word List Filtering Word Lists enable you to query your real-time and historical results for hundreds of keywords and phrases at one time. This allows for more effective data analysis by separating noise from relevant content. Word List​s do not ...