Social Media Comments Table

The Social Media Comments table captures user comments made on your connected social media pages and posts, including visibility status, topic, sentiment, and risk assessment. One row per comment.

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Table Guide

What You Can Answer With This Table

  • What's the sentiment and risk breakdown of comments on my posts? — use sentiment, risk, comment_text
  • Which posts or pages get the most comment activity or moderation actions? — use post_id, comment_id, visibility_status

Before You Query

  • This table is not time-series. No event_date filter is needed. Use created_at if you want to narrow to when comments were posted.

Key Relationships

TableJoin KeyUse This Join To
Social Media Postspost_idExplain which post creative sparked each comment.
Social Media Pagespage_idRoll comment response up by page using page metadata and engagement metrics.

When to Use a Different Table

  • Use Social Media Posts table when you need post content or publishing activity. The Social Media Comments table is for comments on your own connected pages and posts.
  • Use Social Media Brand Mentions table when you need public mentions of your brand on accounts you do not own. The Social Media Comments table is for comments on your own connected pages and posts.

View the full Triple Whale Data Ontology →

Dimensions

Dimensions are immutable properties that can be used for grouping data.

TitleIDTypeDescription
Channelchannelstring

The channel where the comment was published.

Example values: meta-analytics, twitter-social

Comment IDcomment_idstring

The ID of the comment.

Example value: 530861436559487_731664866264638

Comment Textcomment_textstring

The text content of the comment.

Example value: Love this design! Do you ship internationally?

Created Datecreated_atstring

The time the comment was created. Formatted according to the ISO 8601 international standard.

Example value: 2025-07-16 04:32:29

Page IDpage_idstring

The ID of the page.

Example value: 123456789012345

Post IDpost_idstring

The ID of the post.

Example value: 120347795274735_430061436559488

riskstring

The risk level assessment of the comment.

Example values: low, medium, high

sentimentstring

The sentiment analysis result for the comment.

Example values: positive, negative, neutral

topicstring

The topic or category classification of the comment.

Example values: product_inquiry, shipping, complaint

User IDuser_idstring

The ID of the user that made the comment.

Example value: 24237031855927250

User Nameuser_namestring

The name of the user that made the comment.

Example value: Jane Smith

visibility_changed_atstring

The timestamp of the last visibility status change.

Example value: 2025-07-16 04:32:29

visibility_changed_bystring

Who changed the visibility status of the comment.

Example values: user, system

visibility_statusstring

The visibility status of the comment.

Example values: visible, hidden, deleted