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	XTikTok
author_gender	Gender of the document's author	female, male	NewsXDouyinWeiboRedditREDForumsWeChatPinterestBlogsBilibiliLineVoomCommentsFacebookYoukuTwitchKakaoTalkTikTok
author_handle	Handle of the document's author	@john_smith	XDouyinWeiboRedditREDNewsWeChatPinterestBilibiliLineVoomCommentsFacebookYoukuTwitchKakaoTalkTikTok
author_name	Name of the document's author	John Smith	XDouyinWeiboRedditREDNewsWeChatPinterestBilibiliLineVoomCommentsFacebookYoukuTwitchKakaoTalkTikTok
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	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchKakaoTalkBroadcast
emoji	Emoji symbols used in content	🤣, 🔥	XDouyinSina WeiboRedditREDNewsForumsWeChatPinterestBlogsBilibiliLineVoomCommentsInstagramFacebookTwitchKakaoTalkTikTok
emotion	Emotion detected within the content	Joy, Anger	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebook
entity_name	The names of entities detected in the content	Emerging Technologies, Microsoft	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukutenderBroadcast
hashtag	Hashtags that appear in the document's content	ai, football	XDouyinWeiboRedditREDPinterestBilibiliLineVoomInstagram
image_age	The approximate ages of people detected in images	Young Adults, Seniors	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitch
image_emotion	Emotions shown by people detected in images	Joy, Anger	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitch
image_gender	Genders of people detected in images	Male, Female	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitch
image_object	Objects recognized within images shared in content	Handbag, Footwear	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitch
image_people_density	Sizes of groups of people detected in images	Crowd, Group	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitch
image_scene	Scenes detected in images	race, stadium	XDouyinRedditREDNewsWeChatPinterestLineVoomTwitch
keyphrase	Keyphrases found within the document content	artificial intelligence, tesla	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchBroadcast
language	Language detected for the document	English, French	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchTikTokBroadcast
location_city	City where the document was published	Berlin	XRedditNewsReviewsFacebook
location_country	Country where the document was published	United Kingdom, South Korea	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchKakaoTalkTikTokBroadcast
location_state	State where the document was published	California	XREDNewsForumsReviewsFacebook
mention	Social media handles mentioned in the document	adidas, rolex	XInstagram
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	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchKakaoTalkTikTokBroadcast
source	Source of the document - called 'Source Type' in the Meltwater application	News, Reddit, Facebook	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchKakaoTalkTikTokBroadcast
topic	Topics detected in content	shopping, arts_and_entertainment/movies	XDouyinWeiboRedditREDNewsForumsWeChatPinterestReviewsBlogsBilibiliLineVoomCommentsInstagramFacebookYoukuTwitchKakaoTalkTikTokBroadcast

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	NewsXRedditFacebookInstagramForumsBlogsCommentsPinterestBilibiliWeChatDouyinREDWeiboLineVoomTikTokBroadcast
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	NewsRSSXFacebookRedditTwitchPinterestWeiboKakaoTalkTikTokBroadcast
social_echo	Number of times an article has been shared on social networks	2459	NewsBroadcast