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 KeyWhat the Join Enables
Social Media Postspost_idPost content, CTA details, and publisher info for the commented post.
Social Media Pagespage_idPage metadata and daily engagement metrics (impressions, reach, fans) for the page the comment is on.

When to Use a Different Table

  • For post content or publishing activity (not comments) → use Social Media Posts.
  • For page-level engagement (impressions, reach, follower changes) → use Social Media Pages.
  • For public mentions of your brand on accounts you don't own → use Social Media Brand Mentions. This table is limited to 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
ChannelchannelstringThe channel where the comment was published.Example values: meta-analytics, twitter-social
Comment IDcomment_idstringThe ID of the comment.Example value: 530861436559487_731664866264638
Comment Textcomment_textstringThe text content of the comment.Example value: Love this design! Do you ship internationally?
Created Datecreated_atstringThe time the comment was created. Formatted according to the ISO 8601 international standard.Example value: 2025-07-16 04:32:29
Page IDpage_idstringThe ID of the page.Example value: 123456789012345
Post IDpost_idstringThe ID of the post.Example value: 120347795274735_430061436559488
riskstringThe risk level assessment of the comment.Example values: low, medium, high
sentimentstringThe sentiment analysis result for the comment.Example values: positive, negative, neutral
topicstringThe topic or category classification of the comment.Example values: product_inquiry, shipping, complaint
User IDuser_idstringThe ID of the user that made the comment.Example value: 24237031855927250
User Nameuser_namestringThe name of the user that made the comment.Example value: Jane Smith
visibility_changed_atstringThe timestamp of the last visibility status change.Example value: 2025-07-16 04:32:29
visibility_changed_bystringWho changed the visibility status of the comment.Example values: user, system
visibility_statusstringThe visibility status of the comment.Example values: visible, hidden, deleted