Explore+ Analytics Options

This page details the dimensions and measures you can use in your Explore+ analysis queries.

To learn more about requesting analytics see the Analyzing Mentions guide.

Please note that output for News documents is subject to copyright restrictions.

Dimensions

Dimension	Description	Example Values	Sources
author_age	Approximate age group of the document's author	13-17, 18-24	XTikTokBluesky
author_gender	Gender of the document's author	female, male	NewsXDouyinWeiboRedditREDForumsWeChatPinterestBlogsBilibiliLineVoomCommentsFacebookYoukuTwitchKakaoTalkTikTokBluesky
author_handle	Handle of the document's author	@john_smith	XDouyinWeiboRedditREDNewsWeChatPinterestBilibiliLineVoomCommentsFacebookYoukuTwitchKakaoTalkTikTokBluesky
author_name	Name of the document's author	John Smith	XDouyinWeiboRedditREDNewsWeChatPinterestBilibiliLineVoomCommentsFacebookYoukuTwitchKakaoTalkTikTokBluesky
author_occupation	Occupation of the document's author	engineer, economist	X
custom_field	Custom fields you have created for data structuring, such as brands or topics	Green energy, My brand	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchKakaoTalkBroadcastBluesky
emoji	Emoji symbols used in content	🤣, 🔥	XDouyinSina WeiboRedditREDNewsForumsWeChatPinterestBlogsBilibiliLineVoomCommentsInstagramFacebookTwitchKakaoTalkTikTokBluesky
emotion	Emotion detected within the content	Joy, Anger	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookBluesky
entity_name	The names of entities detected in the content	Emerging Technologies, Microsoft	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukutenderBroadcastBluesky
hashtag	Hashtags that appear in the document's content	ai, football	XDouyinWeiboRedditREDPinterestBilibiliLineVoomInstagramBluesky
image_age	The approximate ages of people detected in images	Young Adults, Seniors	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitchBluesky
image_emotion	Emotions shown by people detected in images	Joy, Anger	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitchBluesky
image_gender	Genders of people detected in images	Male, Female	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitchBluesky
image_object	Objects recognized within images shared in content	Handbag, Footwear	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitchBluesky
image_people_density	Sizes of groups of people detected in images	Crowd, Group	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitchBluesky
image_scene	Scenes detected in images	race, stadium	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitchBluesky
keyphrase	Keyphrases found within the document content	artificial intelligence, tesla	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchBroadcastBluesky
language	Language detected for the document	English, French	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchTikTokBroadcastBluesky
location_city	City where the document was published	Berlin	XRedditNewsReviewsFacebook
location_country	Country where the document was published	United Kingdom, South Korea	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchKakaoTalkTikTokBroadcastBluesky
location_state	State where the document was published	California	XREDNewsForumsReviewsFacebook
mention	Social media handles mentioned in the document	adidas, rolex	XInstagramBluesky
search	Searches that are matched by the document	Brand A search, Brand B search	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchKakaoTalkBroadcast
sentiment	Sentiment of the document or mention	positive, negative, neutral, unknown	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchKakaoTalkTikTokBroadcastBluesky
source	Source of the document - called 'Source Type' in the Meltwater application	News, Reddit, Facebook	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchKakaoTalkTikTokBroadcastBluesky
topic	Topics detected in content	shopping, arts_and_entertainment/movies	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchKakaoTalkTikTokBroadcastBluesky

Measures

Measure	Description	Example Values	Sources
engagement	Total engagement for articles and posts across news and social, such as social echo for news, and shares and reports of social	2459	NewsXRedditFacebookInstagramForumsBlogsCommentsPinterestBilibiliWeChatDouyinREDWeiboLineVoomTikTokBroadcastBluesky
estimated_views	Approximate number of times an average article from a publication has been viewed	2459	NewsXFacebookInstagramForumsPinterestBilibiliWeChatYoukuTwitchTikTokBroadcast
reach	Reach for the document, for example number of followers for social authors, or estimate of number of visitors for a news site	2459	NewsRSSXFacebookRedditTwitchPinterestWeiboKakaoTalkTikTokBroadcastBluesky
social_echo	Number of times an article has been shared on social networks	2459	NewsBroadcast