Comments can be moderated on the threads themselves. All comments pending approval can be seen in the Disqus portal.
Moderating on the Thread
On a published post page, comments can be deleted, marked as spam or featured. Comments that have not been approved cannot be moderated on uOttawa.ca. Go directly to the Disqus moderation panel by selecting Moderate on any comment.
Moderating in the Disqus Portal
Go the Disqus portal and select Community from the menu or Moderate from the Start page. Here you will have a list of all comments from every thread on the blog.
By default, you will see the list of Pending comments that need to be moderated, but on other tabs, you can also see the already approved comments, deleted comments and comments marked as spam.
Pre-moderation is a setting that allows user posts to be published and available publicly without a moderator’s manual approval. Caution should be used when this feature is used to reduce the likelihood of inappropriate comments appearing publicly. Restricted Words and Banning Users should be heavily used to reduce risk.
When pre-moderation is off all comments, with the exception of comments from Trusted Users, will require approval before they are publicly displayed.
To set a pre-moderation on a discussion, go to the published post page and select the drop down on the user name. You must be logged in as a moderator to do this.
By default, pre-moderation is off.
Managing Banned Users
Users can be banned by
Username: if you know their specific account;
email address: if there are postings as a guest
domain: the domain of their email address, helpful if a person or bot is using many email addresses from the same domain (e.g. email@example.com and firstname.lastname@example.org)
IP address: if a person or bot is using the same IP address to post spam with many unrelated accounts.
When a user is banned, they will still see the other comments on a thread but are not allowed to submit any comments. A banned user will not be able to post comments on any thread on the blog.
Ban from a post
Users can be banned from their public post page.
Go to the offending comment and select Ban User from the dropdown.
The following menu will appear to customize the ban.
Users that are added to the Trusted list will have their comments bypass the spam filters (e.g. comments that contain links or restricted words if those filters have been configured). To have users added or removed from the trusted user lists, send their username or email address in a request to the Service Desk (http://it.uottawa.ca/service-desk-request).
Blocking a user will hide the user’s comments and profile from all the threads and feeds on the blog and Disqus. BEWARE: it does prevent other users from seeing the blocked user’s comments – they will normally display to everyone but the person that blocked them.
This functionality is intended for users and commenters on the blog but not moderators. Moderators should use the Ban User function and/or Delete specific comments so they are no longer visible to any user.
Comments containing any words added to the restricted list will require approval by a moderator before being publicly visible on a thread, whether or not the thread is set for pre-moderation. Send a request to Service Desk (http://it.uottawa.ca/service-desk-request) to add and remove words from the restricted word list.
Any user can flag a comment. The behaviour when a comment is flagged can be set to one of the following:
An email is sent to moderators when a comment is flagged but the comment remains publicly visible.
The comment is no longer displayed once it is flagged.
The comment is displayed publicly until it is flagged more than once, then it is hidden. The number of flags before a post is hidden can be customized – send a request to Service Desk (http://it.uottawa.ca/service-desk-request) to have it changed.
Flagged comments will be marked as such in the moderation panel.
Monitor audience engagement through the Disqus portal by going to Analyze Engagement.
There are graphs of overall engagement as well as post-specific numbers such as
Number of times articles are read
Number of commenters that are participating
Statistics by day and month (time lengths can be customized)