Use the Moderation tab to set premoderation rules for incoming content, including profanity lists, flag rules, and banned IP addresses.
You can moderate content in the following ways:
You can automatically premoderate content in the following ways:
Set up rules to automatically flag certain types of content:
Create a list of words that you consider profanity in the Profanity List under Settings > Moderation > Rules for your Network or Site.
Allow-list users (always allow content from these users to display) by using or turning off filters for specific streams, sites, or networks.
After you have set up your profanity lists, SAFE filters, and rules, you can choose whether to premoderate content and apply the SAFE filters in streams. For more information, see Stream Rule Options for All Stream Rules.
Livefyre marks content as Approved, Pending, Junk, etc. depending on where the content comes from, where it will be published, and what rules you have set up in your system. The following table describes the actions Livefyre takes, depending on these factors, in detail.
|Content Comes From:||Sending Content To:||Approval Status|
|Social Search||App||Content Approved|
|Stream Rule||App||Is content marked as Junk by SAFE filter?
|Library||Folder||No status (in folder, not published, not trashed)|
|Social Search||Folder||No status (in folder, not published, not trashed)|
|Stream Rule||Folder||Is content marked as Junk by SAFE filter?
|App Post||App||Is content marked as Junk by SAFE filter?
Before the content from a Stream is published to an App, Livefyre performs the following checks to determine what to do with the content:
Before the content from an App post is published to an App, Livefyre performs the following checks to determine what to do with the content:
The Bulk Filter looks for repetitive content posted across all Livefyre networks within a short timeframe. If detected, this content is flagged as Bulk, and then trashed by default. While bulk content may be user-generated (such as “Touchdown!” posted repeatedly in a Chat during a popular football game), most originates with spam campaigns. This filter is language-independent, and works with any language. To customize the bulk filter, you must contact Livefyre support.
Use the Rules section to create pre-moderation rules, based on SAFE and user applied flags. This panel offers two types of rules:
To create Flag Rules, select the flag (Offensive, Off Topic, Disagree, or Spam), enter the number of times it must be applied to a piece of content, and select the action to take. You can set one Flag Rule for each flag option (Offensive, Off Topic, Disagree, or Spam).
You can create rules at the Network, Site, and Stream levels. Site level rules inherit network rules, unless you configure Site rules differently. Stream rules inherit Site rules unless you configure them differently.
Livefyre recommends that you create rules to Bozo comments that are flagged as Spam or Offensive by five users.
You can use moderation recommendations to help you determine how to moderate content posted by site visitors in Livefyre Apps. The Moderation Recommendation Indicator recommends when a piece of content is likely to be trashed, based on what actions you took previously on similar content. To use Moderation Recommendations:
Turn on the Moderation Recommendations functionality by contacting your Adobe Livefyre support professional.
Set up moderation recommendations in Network Settings.
Set up moderation recommendations using the Livefyre Recommends Trash setting under Network Settings.
Set up a SAFE rule to tell Livefyre what to do with content that the moderation recommendation identifies as content that is likely to be trashed. For more information on how to set up a SAFE rule for the Livefyre Recommends Trash option, see Moderation.
Use the Moderation Recommendation Indicator in the ModQ or in App Content to filter content that the moderation recommendation identifies as likely to be trashed.
In ModQ, the indicator looks like this:
For more information on how to use Moderation Recommendations to moderate content in ModQ, see ModQ.
In App Content, moderation recommendations look like this:
For more information on how to use Moderation Recommendations in App Content, see Moderate Content Using App Content.